Non-Linear Behavioral Modeling for DC-DC Converters and Dynamic Analysis of Distributed Energy Systems

Xiancheng Zheng, Husan Ali, Xiaohua Wu, Haider Zaman and Shahbaz Khan
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Xiancheng Zheng: Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi’an 710000, China
Husan Ali: Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi’an 710000, China
Xiaohua Wu: Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi’an 710000, China
Haider Zaman: Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi’an 710000, China
Shahbaz Khan: Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi’an 710000, China

Energies, 2017, vol. 10, issue 1, 1-21

Abstract: In modern distributed energy systems (DES), focus is shifting from the conventional centralized approach towards distributed architectures. However, modeling and analysis of these systems is more complex, as it involves the interface of multiple energy sources with many different type of loads through power electronics converters. The integration of power electronics converters allows distributed renewable energy sources to become part of modern electronics power distribution systems (EPDS). It will also facilitate the ongoing research towards DC-based DES which is mostly composed of commercial DC-DC converters whose internal structure and parameters are unknown. For the system level analysis, the behavioral modeling technique is the only choice. Since most power electronics converters are non-linear systems and linear models can’t model their dynamics to a desired level of accuracy, hence non-linear modeling is required for accurate modeling. The non-linear modeling approach presented here aims to develop behavioral models that can predict the response of the system over the entire operating range. In this work, either a lookup table or a polytopic structure-based modeling technique is used. The technique is further applied to cascade and parallel connected converters, being two DES scenarios. First the procedure is verified via application to switching models in a simulation and then validated for commercial converters via experiments. The results show that the developed behavioral models accurately predict both the transient and steady state response.

Keywords: distributed energy system (DES); electronic power distribution; power electronics converter; behavioral modeling; non-linear (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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