REAL-TIME IMPLEMENTATION OF AN OVERHEAD POWER LINE CABLE SAG MONITORING SYSTEM
DOI:
https://doi.org/10.36801/Keywords:
Remote monitoring, Real time, Sag calculusAbstract
This paper presents a calculation method and a real-time monitoring system for overhead power line cable sag, following the increased need over the last decade to accurately estimate its value. Thus, the hardware/software architecture of such a system is presented, which uses in addition to the geometrical data of the power line, the information provided by a specialized sensor to measure the horizontal mechanical tension in the cable. Based on the catenary equation, numerical simulations implemented in Matlab environment are presented to obtain the value of the overhead power transmission line cable sag. Real-time software implementation in Laboratory Virtual Instrument Engineering Workbench (LabVIEW) programming environment of overhead power line condition monitoring is also presented.
References
(1) L. Yi et al., Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters, IEEE International Conference on Power Science and Technology (ICPST), Kunming, China, 2023, pp. 289-293.
(2) H. Farzin, M. Fotuhi-Firuzabad, M. Moeini-Aghtaie, Role of Outage Management Strategy in Reliability Performance of Multi-Microgrid Distribution Systems, IEEE Trans. Power Syst., vol. 33, no. 3, pp. 2359–2369, May 2018.
(3) Q. Gao, L. Wang, Z. Liu, X. Zhang, Comprehensive Evaluation Method of Distribution Network Planning Schemes Based on Spatial Information, IEEE International Conference on Power Science and Technology (ICPST), Kunming, China, 2023, pp. 264-270.
(4) S. Thakar, V. Vittal, R. Ayyanar, C. Rojas, The Impact of Detailed Distribution System Representation in Dynamic Sub-Transmission-Distribution Co-Simulation, IEEE Open Access Journal of Power and Energy, vol. 10, pp. 490-502, June 2023.
(5) M. Yaqoob et al., Supervisor Control of Power System for Stability Problems and Improvements Using Computer Control Technology, International Conference on Emerging Power Technologies (ICEPT), Topi, Pakistan, 2023, pp. 1-6
(6) A. Gupta, A. K. Srivastava, Artificial Intelligence - Smart Energy Distribution and Management System for Small autonomous Photo-voltaic Systems, 1st International Conference on Intelligent Computing and Research Trends (ICRT), Roorkee, India, 2023, pp. 1-7.
(7) M. I. Fyodorova, I. I. Zhuravlev, D. S. Kuzenev, A. E. Bannov, D. P. Khmelyuk, The SCADA System Digital Infrastructure Implementation in Distribution Networks, 5th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE), Moscow, Russian Federation, 2023, pp. 1-6.
(8) S. Sivakumar, R. Raffik, K. Kiran Kumar, B. Hazela, SCADA energy management system under the distributed decimal of service attack using verification techniques by IIoT, International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India, 2023, pp. 1-4.
(9) L. Shang, K. Chen, G. Wang, Y. Liu, R. Hu, Y. Shang, Short-term Distribution Network Peak Load Forecasting Based on Generalized Linear Model, 4th International Conference on Power and Energy Technology (ICPET), Beijing, China, 2022, pp. 584-589.
(10) C. Xie, D. Jia, J. Liu, X. Sun, J. Zhou, Research on Operation Risk Prevention and Control Technology of Intelligent Distribution Network Based on Ultra Short Term Load Forecasting, IEEE 1st China International Youth Conference on Electrical Engineering (CIYCEE), Wuhan, China, 2020, pp. 1-6.
(11) C. Biyun, Q. Hong, D. Jin, A Reliability Forecasting Method for Distribution Network Based on Data Mining, China International Conference on Electricity Distribution (CICED), Tianjin, China, 2018, pp. 2503-2506.
(12) C. Z. Huan, F. J. Yu, L. Hao, W. P. Pan, Research on short-term load forecasting method of distribution network based on wavelet clustering analysis, China International Conference on Electricity Distribution (CICED), Shanghai, China, 2021, pp. 1086-1090.
(13) A. T. Zengin, G. Erdemir, T. C. Akinci, S. Seker, Measurement of Power Line Sagging Using Sensor Data of a Power Line Inspection Robot, IEEE Access, vol. 8, pp. 99198-99204, 2020.
(14) D. Sacerdoţianu, M. Nicola, C. -I. Nicola, F. Lăzărescu, Research on the Continuous Monitoring of the Sag of Overhead Electricity Transmission Cables Based on the Measurement of their Slope, International Conference on Applied and Theoretical Electricity (ICATE), Craiova, Romania, 2018, pp. 1-5.
(15) Y. Cheng, X. Ding, A survey of sag monitoring methods for power grid transmission lines, IET Generation, Transmission & Distribution, vol. 17, no. 7, pp. 1-23, February 2023.
(16) A. V. Kupova, E. V. Lanovenko, E. B. Solovyeva, Modeling of Three-Phase Circuits by Means of MatLab in Electrical Engineering Course, International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), Sochi, Russia, 2019, pp. 526-530.
(17) W. Hao, H. Liu, Y. Wang, Y. Gou, The design and simulation of a teaching virtual platform by combining LabVIEW and Simulink for undergraduates of electrical engineering, 20th International Conference on Electrical Machines and Systems (ICEMS), Sydney, NSW, Australia, 2017, pp. 1-4.
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