Modeling and Analysis of DC Microgrids as Stochastic Hybrid Systems
Abstract
This article proposes a method of predicting the influence of random load behavior on the dynamics of dc microgrids and distribution systems. This is accomplished by combining stochastic load models and deterministic microgrid models. Together, these elements constitute a stochastic hybrid system. The resulting model enables straightforward calculation of dynamic state moments, which are used to assess the probability of desirable operating conditions. Specific consideration is given to systems based on the dual active bridge (DAB) topology. Bounds are derived for the probability of zero voltage switching (ZVS) in DAB converters. A simple example is presented to demonstrate how these bounds may be used to improve ZVS performance as an optimization problem. Predictions of state moment dynamics and ZVS probability assessments are verified through comparisons to Monte Carlo simulations.
Recommended Citation
J. A. Mueller and J. W. Kimball, "Modeling and Analysis of DC Microgrids as Stochastic Hybrid Systems," IEEE Transactions on Power Electronics, vol. 36, no. 8, pp. 9623 - 9636, article no. 9339893, Institute of Electrical and Electronics Engineers (IEEE), Aug 2021.
The definitive version is available at https://doi.org/10.1109/TPEL.2021.3055456
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Dual Active Bridge (DAB) Converter; Generalized Average Model; Stochastic Hybrid System (SHS); Zero Voltage Switching (ZVS)
International Standard Serial Number (ISSN)
0885-8993; 1941-0107
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Aug 2021
