REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
type: channel
description: The journal publishes original papers in English, French, German, and Russian, representing research on power economy, electrical power, electrical engineering, electronics, information transmission, computers, control systems in electrical power, thermopower, thermomechanics, bio-medical engineering, and related problems. It reflects especially the fundamental and experimental research activity in power and communications of our country, papers presented at international conferences held in Romania, as well as the contributions of some specialists from abroad. A special part is assigned to reviewing the most relevant books, appearing in Romania and from abroad. The papers published are of a high level of the modern sciences and technique and represent original contributions to the development of contemporary power sciences. All manuscripts are strictly refereed and only papers of high quality, original, and with the application of the results, are accepted for publication. Through its topics, Revue is of concern to specialists working in research and education, doctoral candidates, and senior-year students. Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique is a journal of the Romanian Academy, the Engineering Section
publisher: The Publishing House of the Romanian Academy
language: en
publication name: REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
issn: 0035-4066
items: ENHANCING SMART BUILDING RELIABILITY AND DATA UCONTINUITY USING EDGE COMPUTING
items: DESIGN SENSITIVITY ANALYSIS AND PERFORMANCE IMPROVEMENT OF A SIX-PHASE SQUIRREL-CAGE INDUCTION MACHINE
items: MAGNETIC ANALYSIS OF ROTATING MAGNETIC FIELD DEVICES USED FOR STUDIES ON BLOOD CELLS
items: A SINGLE SWITCH NON-ISOLATED QUADRATIC HIGH GAIN CONFIGURATION FOR RENEWABLE ENERGY APPLICATIONS
items: EVALUATION FOR THERMAL ANALYSIS OF DC MOTORS IN ELECTRIC VEHICLES
items: METAHEURISTIC-DRIVEN DUAL INDUCTOR BOOST CONVERTER FOR FLOATING PV SYSTEMS IN MATLAB/SIMULINK
items: THERMAL AND ENERGY EFFICIENCY SOLUTIONS FOR NATURAL GAS COMPRESSION USING INDUSTRIAL AUTOMATION
items: PRACTICAL ASPECTS OF THE ARTIFICIAL URINARY SPHINCTER IN MEN
items: SENSORLESS OPTIMAL CONTROL OF A FIVE-PHASE INDUCTION MOTOR WITH HARMONIC MINIMIZATION
items: INTEGRATING INDUSTRY 4.0 IN ENGINEERING EDUCATION
items: A NOVEL MODULAR REDUCED COMPONENT MULTISOURCE MULTILEVEL INVERTER FOR SUSTAINABLE APPLICATIONS
items: SIMULATING CYBERATTACKS IN A VIRTUAL ENVIRONMENT: A CASE STUDY IN THREAT DETECTION
items: CURRENT RESEARCH ON THE VARIABLE STIFFNESS MAGNETIC SPRINGS
items: INTELLIGENT CONTROLLER-BASED DYNAMIC VOLTAGE RESTORER TO REDUCE THE VOLTAGE FLUCTUATIONS
items: STUDY AND DESIGN OF A DIGITAL PULSE WIDTH MODULATION SIGNAL GENERATOR FOR DC-DC CONVERTERS
items: NEURAL SWITCHING TABLES FOR A FOUR-LEVEL MULTICELLULAR INVERTER TO ENHANCE DIRECT TORQUE CONTROL OF A PMSM
items: TIME-FREQUENCY LOCKED LOOPS INTENDED FOR THE TRACKING OF THE PULSE SIGNAL PERIODS
items: POWER LOSS ANALYSIS AND CONTROL OF A BIDIRECTIONAL HIGH-GAIN CONVERTER FOR EV CHARGING USING PV ARRAY
items: MAXIMUM RIPPLE ELIMINATING MULTI-LEVEL BIDIRECTIONAL DC-DC CONVERTER VIA OPTIMIZED DEEP LEARNING NETWORK
items: ADVANCED DUAL-AXIS SOLAR TRACKING USING A NOVEL ARTIFICIAL NEURAL NETWORK-PID CONTROL STRATEGY
items: A HYBRID INTELLIGENT CONTROL FRAMEWORK WITH REAL-TIME VALIDATION FOR INDUCTION MOTOR DRIVES
items: ENHANCING WIND FARM PERFORMANCE THROUGH A PARTICLE SWARM-BASED OPTIMIZATION OF TURBINE DIMENSIONS AND LAYOUT
items: ELECTRICALLY DRIVEN ROTARY VOLUMETRIC PUMP EFFICIENCY
items: SIMULATION AND EXPERIMENTAL INVESTIGATION OF A COUPLED-INDUCTOR BASED LED DRIVER CIRCUIT
items: PHOTOVOLTAIC FLUCTUATION SMOOTHING: MULTI-CRITERION OPTIMIZATION OF LOW-PASS FILTERS
items: EXPERIMENTAL INVESTIGATION OF COTTON DUST INFLUENCE ON POWER OUTPUT OF PHOTOVOLTAIC MODULE
items: ECOLOGIC NAVAL POWER PLANT INSTALLED ON BOARD MARITIME TRANSPORT VESSEL
items: CONTROL AND OPTIMIZATION OF VOLTAGE PROFILES AND SAG MITIGATION IN LOW-VOLTAGE POWER NETWORKS

ENHANCING SMART BUILDING RELIABILITY AND DATA UCONTINUITY USING EDGE COMPUTING
type: item
description: Starting from the increase in the number of IoT devices inside buildings, devices that are integrated are the basis of the smart building concept, thus resulting in the exponential growth of the volume of data generated. Such an implementation is feasible but presents certain limitations in terms of the time required for data processing and due to the management of data queues, thus resulting in data losses that can lead to erroneous decisions inside buildings. The article proposes an integration between smart buildings and Edge computing, an integration that aims to demonstrate the benefits of this approach. The system is implemented through the ThingsBoard Edge platform and facilitates access to information generated by several buildings on the campus of the National University of Science and Technology Politehnica Bucharest. To present the benefits of this implementation, a two-month reference period was considered, during which we simulated, in parallel, a smart building infrastructure with and without an integrated edge node. Results confirm superior data continuity for the platform with an integrated edge node; the dependence on an internet connection no longer limits the system's capacity in the absence of a stable connection.
subject: Automatique et ordinateurs | Automation and Computer Sciences
  topic: section
subject: Smart building
  topic: keywords
subject: Edge computing
  topic: keywords
subject: Internet of Things (IoT)
  topic: keywords
creator: MARIAN-COSMIN DUMITRU
creator: RADU-NICOLAE PIETRARU
creator: MIHNEA-ALEXANDRU MOISESCU
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 133
ending page: 138
doi: 10.59277/RRST-EE.2026.1.22

DESIGN SENSITIVITY ANALYSIS AND PERFORMANCE IMPROVEMENT OF A SIX-PHASE SQUIRREL-CAGE INDUCTION MACHINE
type: item
description: Current research increasingly focuses on improving the design of six-phase induction motors, particularly within the realm of scientific inquiry. The primary objectives of this study include maximizing motor efficiency while minimizing losses, decreasing motor mass, maximizing power output within a compact size, addressing environmental concerns such as vibrations, acoustic noise, electromagnetic compatibility, and incorporating eco-friendly materials. This paper investigates the design sensitivity analysis and performance improvement of six-phase asynchronous motors under investigation. To achieve this goal, design parameter variations are performed to analyze their influence on machine characteristics, geometric and electrical parameters, aiming to minimize losses and motor size while maximizing efficiency. This approach endeavors to create robust and dependable machines while minimizing associated costs.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Efficiency
  topic: keywords
subject: Loss minimization
  topic: keywords
subject: Motor mass reduction
  topic: keywords
subject: Optimization
  topic: keywords
subject: Performance enhancement
  topic: keywords
subject: Power output maximization
  topic: keywords
subject: Reliability
  topic: keywords
subject: Six-phase induction motor
  topic: keywords
creator: YACINE BENDJEDDOU
creator: ABDELLATIF SEGHIOUR
creator: MUSTAPHA TAIB
creator: HEMZA SELLAMNA
creator: ABDELKADER TERTAG
creator: NOUREDDINE BENOUZZA
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 3
ending page: 8
doi: 10.59277/RRST-EE.2026.1.1

MAGNETIC ANALYSIS OF ROTATING MAGNETIC FIELD DEVICES USED FOR STUDIES ON BLOOD CELLS
type: item
description: The study of the molecular-level effects in blood cells of the variable magnetic field requires the design of appropriate magnetic devices. In this article, four immobile configurations are analyzed: Helmholtz coils, Gramme coils, a 4-pole electromagnet, and a 6-pole electromagnet. These devices can create a rotating magnetic flux density, intense (up to hundreds of mT), of high frequency (up to 1 MHz) and with an appropriate degree of inhomogeneity (maximum 5 %) in the bioreactor area of 1 cm in diameter. The rotating field is created by supplying the component coils with currents having shifted phases. The original comparative numerical analysis with the help of COMSOL software highlighted the effect of the device geometry, the type of core and conductor, correlated with the working frequency, on the magnetic flux density level in the blood cells. Original and useful results were extracted from the analysis of the homogeneity of the magnetic field in the bioreactor domain.
subject: Génie biomédical | Biomedical Engineering
  topic: section
subject: Electrical engineering computing
  topic: keywords
subject: Magnetic analysis
  topic: keywords
subject: Magnetic cores
  topic: keywords
subject: Rotating magnetic field
  topic: keywords
subject: Biological cells
  topic: keywords
creator: VALENTIN IONIŢĂ
creator: MIHAI REBICAN
creator: LUCIAN PETRESCU
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 163
ending page: 168
doi: 10.59277/RRST-EE.2026.1.27

A SINGLE SWITCH NON-ISOLATED QUADRATIC HIGH GAIN CONFIGURATION FOR RENEWABLE ENERGY APPLICATIONS
type: item
description: This article presents a quadratic high-gain (QHG) transformerless DC-DC converter that integrates an active switched inductor (ASL) and a voltage doubler (VD) to achieve high voltage gain across a wide duty cycle range using a single switch. The design ensures steady input current, uses a simple continuous conduction mode (CCM), and lowers voltage stress on components—enabling the use of efficient low-resistance, low-voltage MOSFETs. By eliminating transformers and coupled inductors, it reduces size, weight, and leakage issues. Steady-state mathematical and efficiency analyses support the operating principles. A comparative study highlights its advantages, and a 100 W prototype is validated using a Simulink model.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Active switched inductor
  topic: keywords
subject: Voltage doubler
  topic: keywords
subject: DC-DC converter
  topic: keywords
subject: Quadratic high gain
  topic: keywords
subject: Continuous conduction mode
  topic: keywords
creator: JAYANTHI KATHIRESAN
creator: NARTHANA SIVAPERUMAL
creator: GNANAVADIVEL JOTHIMANI
creator: MURALIDHARAN SRINIVASN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 97
ending page: 102
doi: 10.59277/RRST-EE.2026.1.16

EVALUATION FOR THERMAL ANALYSIS OF DC MOTORS IN ELECTRIC VEHICLES
type: item
description: Series-wound DC motors remain attractive in many applications due to their simplicity, robustness, and cost-effectiveness. However, their performance and service life depend heavily on effective thermal management. This study presents a detailed investigation into the modeling, simulation, experimental validation, and thermal analysis of a series-wound DC motor under various cooling strategies. A thermal circuit model was developed in LabVIEW to predict temperature rise in different motor components, while a custom experimental setup was constructed to directly measure torque, current, and temperature during real-world operation. Multiple thermocouples were embedded in the motor to capture temperature distributions with high accuracy, and LabVIEW was employed for precise data acquisition and processing. Experimental results were used to refine and assess the thermal model, enabling a comparison between solid and optimized motor configurations. The findings highlight the impact of selecting appropriate cooling techniques on reducing hot-spot temperatures, thereby improving overall motor efficiency, reliability, and lifespan.
subject: Thermotechnique et thermoénergétique | Thermotechnics and Thermal Energy
  topic: section
subject: Cooling
  topic: keywords
subject: DC series motor
  topic: keywords
subject: Temperature
  topic: keywords
subject: Thermal analysis
  topic: keywords
creator: SURESH PANDIARAJAN PERUMALSAMY
creator: VANAJA NARAYANASAMY
creator: KARTHIKEYAN GOVINDAN
creator: PRASANTH BALASUBRAMANIAN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 151
ending page: 156
doi: 10.59277/RRST-EE.2026.1.25

METAHEURISTIC-DRIVEN DUAL INDUCTOR BOOST CONVERTER FOR FLOATING PV SYSTEMS IN MATLAB/SIMULINK
type: item
description: The best way to present a floating photovoltaic (FPV) system would be to recognize the increasing demand for renewable energy sources and the challenges faced by traditional land-based solar systems, including limited space and the astronomical costs of installation. One of the possible solutions to these problems is FPV systems, which use water surfaces as a place to install solar panels, such as lakes, reservoirs, and ponds. The research paper will help optimize the energy collection process for FPV systems by developing an Improved Perturb and Observe (IP&O) algorithm with a dual-inductor boost converter (DIBC). This is aimed at precise monitoring of the peak power point, particularly under changing environmental conditions. The simulation results of the suggested MPPT approach in MATLAB/Simulink are consistent with those reported in the literature. The findings show that reaction time and overall functionality of the FPV system improved significantly, highlighting the possible benefits of the IP&O algorithm for optimizing the energy output of floating solar arrays compared to the traditional MPPT approach.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Dual inductor boost converter (DIBC)
  topic: keywords
creator: ANBARASU PALANISAMY
creator: LOGANATHAN NAVANEETHA KRISHNAN
creator: NARENDRAN ARUMUGHAM
creator: RAMESHKUMAR KANAGAVEL
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 103
ending page: 108
doi: 10.59277/RRST-EE.2026.1.17

THERMAL AND ENERGY EFFICIENCY SOLUTIONS FOR NATURAL GAS COMPRESSION USING INDUSTRIAL AUTOMATION
type: item
description: The paper presents as results a proportional–integral–derivative (PID) function developed for a programmable logic controller (PLC) used to protect a screw electro-compressor from its thermal energy and a complex PLC algorithm developed for ensuring energy efficiency. The operating mode of an electro-compressor can be imposed as manual mode or automatic mode and can be selected from a developed HMI screen. The algorithm behind both manual mode and automatic mode will be analyzed in the article. The efficiency of energy consumption will result from the variation analysis of the current consumed by the main electric motor that drives the compression unit. The oil temperature evolution will also be analyzed from the parameter records, which is kept under control from a thermal point of view by a custom parameterized PID function. It will be detailed in the article how this custom parameterization of the PID function was performed and what the implications are from the point of view of the thermal efficiency for the electro-compressor.
subject: Thermotechnique et thermoénergétique | Thermotechnics and Thermal Energy
  topic: section
subject: Energy efficiency algorithm
  topic: keywords
subject: Thermal efficiency
  topic: keywords
subject: ; Screw electro-compressor
  topic: keywords
subject: Programmable logic controller
  topic: keywords
subject: Proportional integral derivative (PID)
  topic: keywords
subject: Variable speed drive
  topic: keywords
creator: ANDREI MITRU
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 157
ending page: 162
doi: 10.59277/RRST-EE.2026.1.26

PRACTICAL ASPECTS OF THE ARTIFICIAL URINARY SPHINCTER IN MEN
type: item
description: The artificial urinary sphincter (AUS) remains the gold standard in moderate to severe urinary incontinence after prostatic surgery. Starting from the significant personal experience of the authors in the field, we aim to review the current indications, limits and challenges associated with the implantation of an AUS. We present different surgical approaches and pre- and postoperative considerations.
subject: Génie biomédical | Biomedical Engineering
  topic: section
subject: Artificial urinary sphincter
  topic: keywords
subject: Intrinsic sphincteric deficiency
  topic: keywords
subject: Urinary incontinence
  topic: keywords
subject: Post prostatectomy incontinence
  topic: keywords
creator: CRISTIAN PERSU
creator: REMUS NICOLAE CARTAS
creator: IRINA CIOFU
creator: NARCIS CHIRCA
creator: ALEXANDRU CIUDIN
creator: VICTOR CAUNI
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 169
ending page: 172
doi: 10.59277/RRST-EE.2026.1.28

SENSORLESS OPTIMAL CONTROL OF A FIVE-PHASE INDUCTION MOTOR WITH HARMONIC MINIMIZATION
type: item
description: This work presents a sensorless optimal control strategy (model predictive torque and speed control) applied to a five-phase induction machine. Model predictive control (MPC) is used for both torque and flux control, eliminating the need for traditional field-oriented control (FOC) and direct torque control (DTC) techniques. Additionally, model predictive speed control (MPSC) replaces the conventional PI regulator, ensuring fast response and improved dynamic performance. An extended Kalman filter (EKF) is integrated, allowing for accurate estimation of rotor flux, stator currents, and speed. The components of Clarke currents that contribute to harmonic generation are incorporated into the model-predictive torque control (MPTC) optimization criterion. The simulation results from MATLAB Simulink demonstrate the effectiveness of this strategy.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Model predictive torque and speed control
  topic: keywords
subject: Sensorless optimal control
  topic: keywords
subject: Extended Kalman filter
  topic: keywords
subject: Five-phase induction machine
  topic: keywords
subject: Harmonic minimization
  topic: keywords
creator: ZAHIR IDER
creator: YACINE BOUREK
creator: DJAMEL TAIBI
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 9
ending page: 14
doi: 10.59277/RRST-EE.2026.1.2

INTEGRATING INDUSTRY 4.0 IN ENGINEERING EDUCATION
type: item
description: The paper analyses both the importance of introducing Industry 4.0-related courses into the curricula of Industrial Engineering and Management (IEM) education and the appropriate ways to do so. The case study focuses on questioning two categories of relevant stakeholders: students and professors. It also analyses their position on the introduction of new courses tailored to Industry 4.0 content and/or the integration of Industry 4.0 elements into existing courses.
subject: Automatique et ordinateurs | Automation and Computer Sciences
  topic: section
subject: Industry 4.0
  topic: keywords
subject: Education 4.0
  topic: keywords
subject: Industrial engineering and management (IEM) education
  topic: keywords
subject: Case study
  topic: keywords
creator: IOANA MUSTAȚĂ
creator: IOSIF-VASILE NEMOIANU
creator: RADU-MIRCEA CIUCEANU
creator: IOAN-CRISTIAN MUSTAȚĂ
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 139
ending page: 144
doi: 10.59277/RRST-EE.2026.1.23

A NOVEL MODULAR REDUCED COMPONENT MULTISOURCE MULTILEVEL INVERTER FOR SUSTAINABLE APPLICATIONS
type: item
description: This paper introduces a novel modular multi-source multilevel inverter (MSMLI) topology tailored for renewable energy applications. The proposed architecture features a compact basic unit comprising nine switches, three DC voltage sources, and an H-bridge polarity reversal circuit. With equal source magnitudes, this module produces a 7-level output; configuring the sources in a 1:3 ratio extends the output to 15 levels. By connecting multiple units in series, higher voltage levels can be achieved efficiently in both symmetric and asymmetric modes. Crucially, only four switches need to be active per level, minimizing switching losses and improving overall efficiency. Total harmonic distortion (THD) is significantly reduced—from 12.20% in symmetric operation to 5.38% in asymmetric mode—enhancing waveform quality. Generalized mathematical expressions support both level generation control strategies. Comparative evaluation with existing inverter topologies demonstrates advantages in switch count, THD, and total standing voltage (TSV). The theoretical analysis was validated by experimental results obtained from a laboratory-built prototype. The multi-source capability and low hardware complexity make this MSMLI ideal for integration with sustainable applications.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Multisource
  topic: keywords
subject: Modular
  topic: keywords
subject: Renewable
  topic: keywords
subject: Reduced components
  topic: keywords
subject: Total harmonic distortion
  topic: keywords
creator: SATHYA AGILA SATHISH CHANDAR
creator: THIYAGARAJAN VENKATRAMAN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 109
ending page: 114
doi: 10.59277/RRST-EE.2026.1.18

SIMULATING CYBERATTACKS IN A VIRTUAL ENVIRONMENT: A CASE STUDY IN THREAT DETECTION
type: item
description: In this study, we present how we simulated cyberattacks in a controlled virtual environment to assess the security and detection abilities of a Windows 7 system. Using common penetration testing tools, we recreated realistic scenarios including port scanning, brute-force login attempts, password cracking from NTLM hashes, and phishing with cloned websites. Our findings revealed that outdated systems, when left unpatched and poorly monitored, are especially vulnerable, thereby underlining the need for regular updates, strong password practices, and real-time monitoring to reduce risk, while providing insights into how such environments can be tested and strengthened against different cyberthreats.
subject: Automatique et ordinateurs | Automation and Computer Sciences
  topic: section
subject: Cybersecurity
  topic: keywords
subject: Network security
  topic: keywords
subject: Penetration testing
  topic: keywords
subject: Virtual simulation
  topic: keywords
subject: Ethical hacking
  topic: keywords
creator: FLAVIA-MARIA BARBU
creator: CONSTANTIN-VIOREL MARIAN
creator: AMADOU-SADIO DIALLO
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 145
ending page: 150
doi: 10.59277/RRST-EE.2026.1.24

CURRENT RESEARCH ON THE VARIABLE STIFFNESS MAGNETIC SPRINGS
type: item
description: This paper provides a synthesis of research on magnetic springs with variable stiffness that can be the basis for obtaining configurations of electromechanical systems whose operation requires fixed or real-time adjustable pre-established elastic forces, such as vibration damping or humanoid and medical recovery robots. The study and systematization of the research known up to this point highlights the basic concepts and specific characteristics for the two main categories of magnetic springs with variable stiffness, namely, passive magnetic springs with a predetermined stiffness at a desired value (ASMSs) and active magnetic springs with real-time adjustable stiffness (CSEMSs). The study highlights that CSEMSs that generate variable stiffness in a very wide range, from ˗˗9800 N/m to +9800 N/m, can be obtained, which makes them very useful in the design and construction of systems for controlling fast processes, such as vibration isolation systems with quasi-zero-stiffness (QZS).
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Magnetic spring
  topic: keywords
subject: Electromagnetic spring
  topic: keywords
subject: Variable stiffness
  topic: keywords
subject: Quasi-zero stiffness
  topic: keywords
subject: Elastic actuation
  topic: keywords
creator: RADU OLARU
creator: GABRIEL MURAVIEV
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 15
ending page: 20
doi: 10.59277/RRST-EE.2026.1.3

INTELLIGENT CONTROLLER-BASED DYNAMIC VOLTAGE RESTORER TO REDUCE THE VOLTAGE FLUCTUATIONS
type: item
description: In today's power system research, improving power quality is a crucial issue. Due to the advent of numerous industrial equipment and sensitive loads, it has become increasingly vital. Distribution-side voltage sags and swells are the leading causes of power quality issues. Five-level multilevel inverters are too expensive for average-voltage applications and high-power applications due to higher voltage stress on switches, large dv/dt, and the need for extensive filtering. The proposed seven-level multilevel inverter-based dynamic voltage restorer (DVR) is a superior solution to these issues because it can be directly connected to the medium-voltage distribution system without an injection transformer. There are numerous ways to reduce voltage sags and swells, but the planned DVR is one of the most widely used techniques. As a series compensating device, the DVR is primarily used in applications involving low- and medium-voltage systems and employs a fuzzy logic controller (FLC)- based Proportional and Integral (PI) controller to compensate for voltage sags during a three-phase fault. Using simulation results from a fresh DVR setup available in MATLAB/Simulink, the effectiveness and performance of the proposed model are confirmed.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Fuzzy logic controller (FLC)
  topic: keywords
subject: Proportional integral (PI)
  topic: keywords
subject: Dynamic voltage restorer (DVR)
  topic: keywords
subject: Total harmonics distortion (THD)
  topic: keywords
subject: Cascade H-bridge (CHB)
  topic: keywords
subject: Pulse width modulation (PWM)
  topic: keywords
creator: RAJENDRAN ELUMALAI
creator: RAJI VARADHAN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 21
ending page: 26
doi: 10.59277/RRST-EE.2026.1.4

STUDY AND DESIGN OF A DIGITAL PULSE WIDTH MODULATION SIGNAL GENERATOR FOR DC-DC CONVERTERS
type: item
description: This paper presents the design and implementation of a novel digital pulse-width modulation (PWM) signal generator for controlling DC-DC power converters. The proposed digital approach enables precise control of both the switching frequency and duty cycle of the PWM signals via a computationally efficient algorithm. This technique is versatile and can be integrated into various DC-DC converter configurations, thereby facilitating the development and experimental testing of new power-circuit designs. Experimental results demonstrate that the method offers significant advantages over traditional analog and digital techniques, including enhanced accuracy and improved signal quality. The performance of the proposed generator is validated through testing with a single-ended primary-inductance DC-DC converter (SEPIC). Additionally, the control board is suitable for both research and educational applications.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Pulse width modulation (PWM)
  topic: keywords
subject: DC-DC converter
  topic: keywords
subject: Duty cycle
  topic: keywords
subject: Single-ended primary-inductor converter (SEPIC)
  topic: keywords
creator: MOHAMED KAOUANE
creator: MANAR DEROUECHE
creator: NIDHAL CHERRAT
creator: AKKILA BOUKHELIFA
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 115
ending page: 120
doi: 10.59277/RRST-EE.2026.1.19

NEURAL SWITCHING TABLES FOR A FOUR-LEVEL MULTICELLULAR INVERTER TO ENHANCE DIRECT TORQUE CONTROL OF A PMSM
type: item
description: This paper proposes neural switching tables (NCST, NRST) to improve direct torque control (DTC) of a permanent magnet synchronous motor (PMSM) driven by a four-level multicellular inverter (4LMI). Classical DTC suffers from high torque and flux ripples, which can cause mechanical stress and reduce reliability. The neural approach replaces conventional and reduced lookup tables with compact neural network models, allowing seamless integration in Simulink without large precomputed datasets. Simulation results confirm identical control behavior to that in classical tables, while reducing torque ripple by approximately 50% and maintaining flux within hysteresis limits. This solution enhances modularity, simplicity, and scalability, making it a promising step toward AI-based DTC strategies.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Conventional switching table
  topic: keywords
subject: Direct torque control
  topic: keywords
subject: Four-level multicellular inverter
  topic: keywords
subject: Neural switching tables
  topic: keywords
subject: Permanent magnet synchronous motor
  topic: keywords
subject: Reduced switching table
  topic: keywords
creator: BACHIR MOKHTARI
creator: MOHAMED ALI MOUSSA
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 27
ending page: 32
doi: 10.59277/RRST-EE.2026.1.5

TIME-FREQUENCY LOCKED LOOPS INTENDED FOR THE TRACKING OF THE PULSE SIGNAL PERIODS
type: item
description: This article describes the theory of the time-based frequency-locked loop (TFLL), intended for tracking the input signal periods, which change extremely rapidly. They are based on the processing of the input signal periods. The described algorithm, when appropriately implemented, can also be applied to track and predict any physical variable in real time, provided that the pulse signal period is replaced with periodic data from the physical variable. The paper presents a mathematical procedure for determining optimal system parameters for tracking rapidly changing periods. Since this mathematical procedure is very lengthy for higher-order systems, the paper focuses on a new abbreviated analysis method based on a tabular approach. This approach has not been described in the literature so far. Mathematical analyses in the time domain were performed using the Z transformation. Simulation of the system operation was carried out. For frequency-domain analysis, the theory of FIR digital filters and the corresponding MATLAB software were used. The system's tracking capabilities are demonstrated in the time and frequency domains.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Time-based frequency locked loop
  topic: keywords
subject: Tracking
  topic: keywords
subject: Digital circuit
  topic: keywords
subject: Discrete linear system
  topic: keywords
subject: Time-based digital filter
  topic: keywords
creator: DJURDJE M. PERIŠIĆ
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 121
ending page: 126
doi: 10.59277/RRST-EE.2026.1.20

POWER LOSS ANALYSIS AND CONTROL OF A BIDIRECTIONAL HIGH-GAIN CONVERTER FOR EV CHARGING USING PV ARRAY
type: item
description: This study looks at how a bidirectional high-gain converter (BDHGC) can support charging electric vehicles (EVs) using a PV array. The solar irradiation varies, and the PV system’s output is increased with an MPPT technique before it is sent to the BDHGC. The converter increases the voltage and allows power to move back and forth for successful charging. Both switching and conduction losses are studied in detail by building MATLAB/Simulink simulations. The system uses a relay feedback control system to keep the output voltage steady whenever the load changes. From the simulation, it is evident that the system gives high efficiency and stable control, which makes voting solar-powered EV charging a possibility.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Bidirectional converter
  topic: keywords
subject: High gain
  topic: keywords
subject: Photovoltaic (PV) array
  topic: keywords
subject: Power loss analysis
  topic: keywords
subject: Electric vehicle (EV) charging
  topic: keywords
subject: Relay feedback
  topic: keywords
subject: MATLAB
  topic: keywords
creator: ANJANA ETHIRAJAN
creator: RAMAPRABHA RAMABADRAN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 33
ending page: 38
doi: 10.59277/RRST-EE.2026.1.6

MAXIMUM RIPPLE ELIMINATING MULTI-LEVEL BIDIRECTIONAL DC-DC CONVERTER VIA OPTIMIZED DEEP LEARNING NETWORK
type: item
description: In this research, a novel deep learning based Multi-level Bidirectional DC-DC converter using a modified Emperor Penguin Optimized multi-graph neural network (MEPO-MGN2) has been proposed. Grid power is converted to direct current by means of an AC-DC converter, and then a bidirectional multi-level DC-DC converter (MLDC) is used for the power transfer in both directions between the grid and PMDs. The proposed method utilizes an attention multi-graph convolution network (AMGCN) for the duty cycle (α) prediction of MLDC to regulate the flow of power between the grid and PMD, vice versa. This system employs multiple Proportional-Integral (PI) controllers to manage voltage and current for stable, optimized power transfer. Modified emperor penguin optimization (MEPO) is used to tune the parameters of MLDC, thereby achieving a well-regulated DC output voltage in the charging stations. The MEPO-MGN2 performance is evaluated, and implementation is carried out using the MATLAB platform. The efficacy of the proposed method is 98.5%, which is better than the other existing converter techniques.
subject: Électronique et transmission de l’information | Electronics & Information Technology
  topic: section
subject: Personal mobility devices
  topic: keywords
subject: Deep learning
  topic: keywords
subject: Charging stations
  topic: keywords
subject: Modified emperor penguin optimization
  topic: keywords
subject: Duty cycle
  topic: keywords
creator: JAWAHAR MARIMUTHU
creator: EDWARD RAJAN
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 127
ending page: 132
doi: 10.59277/RRST-EE.2026.1.21

ADVANCED DUAL-AXIS SOLAR TRACKING USING A NOVEL ARTIFICIAL NEURAL NETWORK-PID CONTROL STRATEGY
type: item
description: This paper addresses the challenge of enhancing dual-axis solar tracking systems' adaptability and precision under dynamic conditions. A novel hybrid control approach is proposed, combining an artificial neural network (ANN) with a proportional-integral-derivative (PID) controller. The ANN, trained using the Levenberg-Marquardt algorithm, adaptively tunes the PID gains (Kp, Ki, Kd) in real-time. Although Model Predictive Control (MPC) is currently recognized as the most advanced and effective strategy for solar tracking, our comparative study shows that the ANN-PID controller achieves faster dynamic response, improved adaptability to disturbances, and reduced computational complexity. MATLAB-Simulink simulation results validate the superior tracking accuracy and energy capture performance of the ANN-PID system, as confirmed by MAE. These findings highlight the ANN-PID control as a promising real-time alternative to MPC, offering robust and efficient solar tracking with lower computational demands.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Artificial neural network
  topic: keywords
subject: Solar tracking system
  topic: keywords
subject: Model predictive control
  topic: keywords
subject: Adaptive control
  topic: keywords
subject: Proportional-integral-derivative (PID) controller
  topic: keywords
creator: ABDELLATIF TAHTAH
creator: ZOUBIR ZAHZOUH
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 39
ending page: 44
doi: 10.59277/RRST-EE.2026.1.7

A HYBRID INTELLIGENT CONTROL FRAMEWORK WITH REAL-TIME VALIDATION FOR INDUCTION MOTOR DRIVES
type: item
description: This paper proposes a hybrid speed–current control framework for high-performance induction motor drives under field-oriented control. The outer speed loop combines Backstepping, Radial Basis Function neural approximation, and high-order sliding mode compensation, where Backstepping provides a Lyapunov-based nonlinear structure, the RBF network estimates lumped uncertainties online, and the HOSM term ensures finite-time disturbance rejection and fast convergence. An enhanced Harris Hawks Optimization with chaotic Lévy flights is employed to optimally tune the controller parameters. In the inner loop, a Higher-Order Non-Singular Terminal Sliding Mode controller regulates stator currents, guaranteeing finite-time tracking, reduced chattering, and robustness against parameter variations and inverter nonlinearities. Lyapunov analysis confirms uniform ultimate boundedness of the speed loop and finite-time convergence of the current loop. The effectiveness of the proposed strategy is verified through MATLAB/Simulink simulations and real-time implementation on the OPAL-RT OP5707XG platform, demonstrating superior dynamic performance and disturbance rejection compared with PI- and conventional sliding-mode-based schemes.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Backstepping
  topic: keywords
subject: Radial basis function neural networks
  topic: keywords
subject: Higher-order non-singular terminal sliding-mode control
  topic: keywords
subject: Harris hawks’ optimization
  topic: keywords
subject: Chaotic Lévy flights
  topic: keywords
creator: NGOC THUY PHAM
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 45
ending page: 52
doi: 10.59277/RRST-EE.2026.1.8

ENHANCING WIND FARM PERFORMANCE THROUGH A PARTICLE SWARM-BASED OPTIMIZATION OF TURBINE DIMENSIONS AND LAYOUT
type: item
description: Wind energy plays a crucial role in the global transition toward sustainable power generation. To meet the growing demand for renewable energy, optimizing wind farm design is essential for both maximizing energy output and minimizing costs. This paper builds upon previous studies by refining and expanding several ideal wind turbine configurations, using them as the foundation for a more comprehensive analysis and enhancement. While prior research has primarily focused on reducing the cost per kilowatt (cost/kW) of power generated, this study takes a broader approach, aiming to optimize overall wind farm efficiency through the strategic adjustment of turbine rotor diameters and hub heights. By implementing a particle swarm optimization (PSO) algorithm, this work identifies the optimal arrangement of these turbine dimensions to achieve higher efficiency while simultaneously reducing overall costs. The proposed methodology offers a flexible, scalable solution that can significantly enhance wind farm performance, making it more adaptable to varying environmental conditions and economic constraints.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Wind turbine
  topic: keywords
subject: Rotor diameter
  topic: keywords
subject: Hub height
  topic: keywords
subject: Windfarm configuration
  topic: keywords
subject: Particle swarm optimization (PSO) algorithm
  topic: keywords
subject: Cost estimation
  topic: keywords
subject: Efficiency
  topic: keywords
creator: MOURAD NAIDJI
creator: ALLA EDDINE TOUBAL MAAMAR
creator: MURAD DAFRI
creator: MOHAMED ILYAS RAHAL
creator: RADU-FLORIN PORUMB
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 53
ending page: 58
doi: 10.59277/RRST-EE.2026.1.9

ELECTRICALLY DRIVEN ROTARY VOLUMETRIC PUMP EFFICIENCY
type: item
description: This paper presents the development and experimental validation of a rotary volumetric pump with profiled rotors designed for domestic water supply systems. The proposed solution integrates an electric drive system coupled with frequency control to improve hydraulic and energy performance. A constructive concept, mathematical modeling, and an experimental prototype were developed at the National University of Science and Technology POLITEHNICA of Bucharest. Comparative studies with conventional centrifugal pumps highlight significant improvements in energy efficiency, lower power demand, and the ability to convey viscous fluids or suspensions without performance degradation. Experimental installations equipped with sensors and monitoring instruments confirmed theoretical predictions, demonstrating that integrating electrically driven rotary volumetric pumps can reduce operational energy consumption and increase reliability in civil building services. These results underline the potential contribution of the proposed pump to sustainable energy management in water distribution systems.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Rotary volumetric pump
  topic: keywords
subject: Profiled rotors
  topic: keywords
subject: Electrical drive
  topic: keywords
subject: Frequency control
  topic: keywords
subject: Energy efficiency
  topic: keywords
subject: Building water supply systems
  topic: keywords
creator: MIHAELA CONSTANTIN
creator: CĂTĂLINA DOBRE
creator: GABRIEL FISCHER-SZAVA
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 59
ending page: 64
doi: 10.59277/RRST-EE.2026.1.10

SIMULATION AND EXPERIMENTAL INVESTIGATION OF A COUPLED-INDUCTOR BASED LED DRIVER CIRCUIT
type: item
description: A light-emitting diode (LED) or an LED string can receive a regulated power input from highly efficient, low-cost LED driver topologies using a simple control strategy. The presented work elucidates the analysis of a DC-DC buck topology-based single-stage LED driver circuit with dual output voltage levels. The projected driver structure has a reduced semiconductor-based component count and can control the LED light output. The suggested driver circuit employs a magnetically coupled inductor for transformerless energy transfer. The power switches employed in the proposed structure use a zero-voltage switching (ZVS) strategy to prevent voltage transients that may occur during switch turn-off due to leakage flux components of the inductors. The control and regulation of the light output of the LED lamps are achieved by applying double Pulse Width Modulation (PWM) signals to the switches. The proposed topology features relatively low power losses and improved voltage regulation. The simulation analysis and the projected driver-circuit results obtained in PSIM 9.0 are validated against prototype model results.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: DC-DC buck topology
  topic: keywords
subject: Double pulse width modulation (PWM) technique
  topic: keywords
subject: Light-emitting diode (LED) driver circuit
  topic: keywords
subject: PSIM
  topic: keywords
subject: Zero-voltage switching (ZVS)
  topic: keywords
creator: MURALI DURAISAMY
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 65
ending page: 70
doi: 10.59277/RRST-EE.2026.1.11

PHOTOVOLTAIC FLUCTUATION SMOOTHING: MULTI-CRITERION OPTIMIZATION OF LOW-PASS FILTERS
type: item
description: The integration of photovoltaic (PV) systems into power grids faces inherent challenges posed by power fluctuations driven by variable weather conditions, potentially destabilizing grid operations. This study, based on real data from the CDER network in Algeria, proposes a systematic comparative analysis of a discrete first-order low-pass filter (LPF) for attenuating these fluctuations by evaluating three representative time constants (TC = 10, 20, 30 min). Using a novel multi-criteria evaluation framework, we assess both smoothing performance and battery stress effects, and introduce an innovative SVM-based heatmap classification method for ramp rate (RR %) pattern analysis. Key findings reveal fundamental trade-offs: while TC = 30 min achieves an 80% reduction in high fluctuations (RR% > 10%), it concurrently increases battery energy throughput by 35%, potentially accelerating long-term degradation. The TC = 20 min configuration emerges as the optimal balance, delivering 60% power variance reduction while limiting the mean squared error (MSE) increase to just 8%. Our results provide: (1) quantitative evidence for LPF parameter optimization, (2) visual analytics for fluctuation pattern recognition, and (3) practical guidelines for maintaining grid stability while extending battery lifespan in PV-integrated systems.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Photovoltaic (PV) smoothing
  topic: keywords
subject: Low-pass filter
  topic: keywords
subject: Battery degradation
  topic: keywords
subject: Ramp rate control
  topic: keywords
subject: Grid integration
  topic: keywords
subject: Multi-criteria analysis
  topic: keywords
creator: SALIHA BOULAHCHICHE
creator: ISMAIL BENDAAS
creator: SMAIL SEMAOUI
creator: KADA BOUCHOUICHA
creator: ABDELHAK RAZAGUI
creator: AMAR HADJ ARAB
creator: KAMEL ABDELADIM
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 71
ending page: 76
doi: 10.59277/RRST-EE.2026.1.12

EXPERIMENTAL INVESTIGATION OF COTTON DUST INFLUENCE ON POWER OUTPUT OF PHOTOVOLTAIC MODULE
type: item
description: This research presents the influence of cotton dust on photovoltaic (PV) systems installed in textile industries. An indigenously designed experimental setup is installed, and two different experiments have been conducted based on cotton dust concentrations from (28000 – 52431) mg/cm2 in twelve days. The results showed that the output of the PV module decreased drastically as the cotton dust accumulation increased. The accumulated cotton dust samples are collected from the PV surface for physical examination. It is observed that cotton dust has a unique stickiness, which causes the fibre to adhere to the PV module surface. When exposed to sunlight for an extended period, its color becomes dull, and yellowness increases, which decreases the transmittance and forms large agglomerates due to an increase in humidity, which blocks irradiance. The results of this research can be utilized to devise a specific cleaning mechanism for the textile sector that will increase the PV output.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Cotton dust
  topic: keywords
subject: Photovoltaic (PV) module
  topic: keywords
subject: Renewable energy
  topic: keywords
subject: Textile industry
  topic: keywords
subject: Power loss
  topic: keywords
creator: BASIT ALI
creator: MUHAMMAD FAISAL KHAN
creator: KASHIF ISHAQUE
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 77
ending page: 82
doi: 10.59277/RRST-EE.2026.1.13

ECOLOGIC NAVAL POWER PLANT INSTALLED ON BOARD MARITIME TRANSPORT VESSEL
type: item
description: The use of renewable energy sources on board ships is one solution to reduce pollution from maritime transport. Considering it one of the many solutions for the transition to "zero" emission ships, we studied the possibility of installing a new type of power plant on ships already in operation that uses solar/photovoltaic and wind energy conversion systems. The current electricity production system is transformed into a hybrid system, and by improving the available electrical power management algorithms, clean energy consumption will be prioritized. Monitoring daily electricity consumption and recording values for renewable energy source parameters during ship periods and voyages enabled calculations to determine the potential for electricity production from renewable sources and demonstrated the viability of the chosen solution. The results obtained highlight that installing the ecological marine power plant (ENPP) can achieve significant reductions in fuel consumption for producing electricity on board the ship.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Power plants
  topic: keywords
subject: Naval
  topic: keywords
subject: Renewable energy
  topic: keywords
subject: Ecological
  topic: keywords
creator: MIRCEA PREDA
creator: GHEORGHE SAMOILESCU
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 83
ending page: 88
doi: 10.59277/RRST-EE.2026.1.14

CONTROL AND OPTIMIZATION OF VOLTAGE PROFILES AND SAG MITIGATION IN LOW-VOLTAGE POWER NETWORKS
type: item
description: Voltage sags, swells, and fluctuations in low-voltage networks can disrupt sensitive equipment, reduce industrial productivity, and accelerate component aging. This paper reviews common assessment practices, including ITIC/CBEMA curves and waveform analysis, and proposes an enhanced method that also considers pre- and post-event intervals to better quantify disturbance severity and recovery behavior. A disturbance direction detection procedure is presented to support source localization and targeted mitigation. As an alternative to conventional UPS-based solutions, active voltage conditioners (AVC)/dynamic voltage restorers (DVR) are discussed for fast compensation without energy storage and with high tolerance to voltage variations, while not covering complete interruptions. The main contribution is a combined DVR/AVC and active filtering solution that improves voltage stability, power factor, and harmonic content, enabling a cleaner, more reliable supply.
subject: Électrotechnique et électroénergétique | Electrical and Power Engineering
  topic: section
subject: Voltage regulation
  topic: keywords
subject: Voltage sag
  topic: keywords
subject: Active voltage conditioner
  topic: keywords
subject: Dynamic voltage restorer
  topic: keywords
subject: Harmonic filters
  topic: keywords
creator: GABRIEL IOANA
creator: EMIL CAZACU
creator: MARILENA STANCULESCU
rights: Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-08
publication date: 2026-03-08
starting page: 89
ending page: 96
doi: 10.59277/RRST-EE.2026.1.15