MONTE CARLO-BASED UNCERTAINTY ANALYSIS OF NON-IDEAL BIDIRECTIONAL DC-DC CONVERTER
REV ROUMAINE DES SCIENCES TECHNIQUES-SERIES ELECTROTECHNIQUE ET ENERGETIQUE, vol.71, no.3, pp.421-426, 2026 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 71 Issue: 3
- Publication Date: 2026
- Doi Number: 10.59277/rrst-ee.2026.3.14
- Journal Name: REV ROUMAINE DES SCIENCES TECHNIQUES-SERIES ELECTROTECHNIQUE ET ENERGETIQUE
- Journal Indexes: Scopus, Science Citation Index Expanded (SCI-EXPANDED), zbMATH
- Page Numbers: pp.421-426
- Open Archive Collection: AVESIS Open Access Collection
- Kayseri University Affiliated: Yes
Abstract
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.