MONTE CARLO-BASED UNCERTAINTY ANALYSIS OF NON-IDEAL BIDIRECTIONAL DC-DC CONVERTER
DOI:
https://doi.org/10.59277/RRST-EE.2026.3.14Keywords:
Monte Carlo simulation, Uncertainty analysis, Bidirectional DC-DC converter, Non-ideal converterAbstract
Bidirectional DC-DC converters are widely employed in DC bus-based power systems that supply resistive DC loads due to their simple structure and inherent capability for bidirectional power flow. This paper presents a comprehensive Monte Carlo-based uncertainty analysis of a non-ideal bidirectional DC-DC converter operating with a resistive DC load. Inductor and capacitor tolerances, parasitic resistances, and component operating temperature uncertainties are simultaneously randomized to assess their combined impact on DC bus voltage regulation during bidirectional operation. Simulation results confirm that the bidirectional converter maintains stable operation and bounded performance dispersion under parametric uncertainties. The proposed framework provides a robustness-oriented evaluation methodology that complements conventional deterministic analysis for DC bus-interfaced power converters.
References
(1) M.D. Drid, S. Hamdani, A. Nait-Seghir, L. Chrifi-Alaoui, D. Mehdi, A. Kouzou, S. Drid, Fault-tolerant, capable, and scalable two-time-scale boost converter meant for residential areas, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 3, pp. 373–378 (2025).
(2) J. Marimuthu, E.R.S. Nadar, Maximum ripple eliminating multi-level bidirectional DC-DC converter via optimized deep learning network, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 71, 1, pp. 127–132 (2026).
(3) A. Ethirajan, R. Ramabadran, Power loss analysis and control of a bidirectional high-gain converter for EV charging using PV array, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 71, 1, pp. 33–38 (2026).
(4) T.I. Voicila, G.C. Seritan, B.A. Enache, Analysis of bidirectional DC-DC power converters for screening systems of retired batteries, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 69, 3, pp. 311–316 (2024).
(5) D. Ertekin, M. Ozden, Adaptive neuro fuzzy control of a high gain bidirectional power converter for photovoltaic-hydrogen renewable electric vehicles with enhanced lifespan and reliability, AEU-International Journal of Electronics and Communications, 156, pp. 1–10 (2026).
(6) A. Davoudi, J. Jatskevich, Realization of parasitics in state-space average-value modeling of PWM DC-DC converters, IEEE Transactions on Power Electronics, 21, 4, pp. 1142–1147 (2006).
(7) J. Gajda, T. Sidor, Using Monte Carlo analysis for practical investigation of sensitivity of electronic converters with respect to component tolerances, Electrical and Electronic Engineering, 2, 5, pp. 297–302 (2012).
(8) S. Peyghami, F. Blaabjerg, P. Palensky, Incorporating power electronic converters' reliability into modern power system reliability analysis, IEEE Journal of Emerging and Selected Topics in Power Electronics, 9, 2, pp. 1668–1681 (2021).
(9) J. Zhang, J.S. Lai, W. Yu, Bidirectional DC-DC converter modeling and unified controller with digital implementation, Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition, Austin, TX, pp. 1–10 (2008).
(10) K. Suresh, R. Arulmozhiyal, Design and implementation of bi-directional DC-DC converter for wind energy system, Circuits and Systems, 7, 11, pp. 3705–3722 (2016).
(11) D. Hart, Power electronics, 1st ed., McGraw-Hill Publications, pp. 1–500 (2010).
(12) Z. Mohellebi, N. Oudni, O. Mezine, Effect of defect geometry in a composite on reliability, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 4, pp. 477–482 (2025).
(13) S.A. Tekin, A. Gani, Design and stochastic performance analysis of non-ideal ultra-lift Luo converter: A Monte Carlo approach, Journal of Electrical Engineering Slovak University of Technology in Bratislava, 77, 1, pp. 89–96 (2026).
(14) T. Micu, D. Micu, The Monte Carlo method in non-homogeneous media for evaluating the risk of explosion in tanks, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 2, pp. 165–168 (2025).
Downloads
Published
Issue
Section
License
Copyright (c) 2026 REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.