Equalized Distributed Control Strategy for AC Microgrid Energy Storage SOCs

Qingsheng Li, Kaicheng Lu (), Yongqing Zhu, Zhaofeng Zhang and Zhen Li
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Qingsheng Li: Guizhou Power Grid Co., Ltd., Power Grid Planning Research Center, Guiyang 557316, China
Kaicheng Lu: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Yongqing Zhu: Guizhou Power Grid Co., Ltd., Power Grid Planning Research Center, Guiyang 557316, China
Zhaofeng Zhang: Guizhou Power Grid Co., Ltd., Power Grid Planning Research Center, Guiyang 557316, China
Zhen Li: Guizhou Power Grid Co., Ltd., Power Grid Planning Research Center, Guiyang 557316, China

Energies, 2024, vol. 17, issue 18, 1-22

Abstract: Most of the previous SOC equalization methods for microgrid energy storage target DC microgrids and use centralized control structures, while in recent years many researchers have begun to focus on a decentralized, communication-based implementation of distributed control structures. In this paper, based on the existing research, we use the multi-agent system (MAS) structure and dynamic consistency algorithm (DCA) to realize the estimation of the SOC mean value of microgrid energy storage obtained by each agent in the system. For the problems of the iterative convergence that exists in the distributed control, such as being too slow, too frequent communication, stability, etc., we optimally select the parameters of the consistency iterative summation to improve convergence. In addition, we use the event-driven method to further reduce the unnecessary communication frequency. Finally, a numerical simulation model of the AC microgrid is established by Matlab to verify the effectiveness of the method, which reduces the communication volume by about 50% while maintaining the effect of the control strategy.

Keywords: soc equalization; consistency algorithm; event-driven; multi-agent system; AC microgrids (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: 2024
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