Distributed Reactive Power Control and SOC Sharing Method for Battery Energy Storage System in Microgrids

IEEE Access

Bo Zhao¹  Feixiong Chen²  Houfei Lin³  Wei Lai⁴  Bo Li⁴  Minyou Chen⁴  Wenfa Kang⁴ 

[1] Electric Power Research Institute, State Grid Zhejiang Electric Power Company, Hangzhou, China;School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China;State Grid Zhejiang Pingyang Power Supply Company, Hangzhou, China;The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China;

关键词: Battery energy storage system (BESS);    distributed control;    state of charge (SOC) balancing;    reactive power sharing;    microgrids;   

DOI  :  10.1109/ACCESS.2019.2910352

来源: DOAJ

【 摘 要 】

Battery energy storage system (BESS) is a pivotal component to increase the penetration of renewable generation and to strengthen the stability and reliability of the power system. In this paper, for the purpose of the state of charge (SOC) balancing and reactive power sharing, a multiagent system (MAS)-based distributed control model, which contains a top layer communication network built by agents and a bottom-layer microgrid composed of BESSs, distributed generators (DGs), and Loads, is provided. Next, a systematic method is designed to build the control laws for agents from any given network, where each agent on the top communication network collects the states of BESSs, DGs it connects and exchanges information with its neighboring agents. Moreover, two theorems, which provide guidelines to design distributed control laws for SOC balancing and reactive power sharing between BESSs, are proposed to show the convergent property of the proposed control laws. Furthermore, several simulation cases are employed to validate the effectiveness of the proposed control model when environmental conditions and time-varying load demands are considered. Finally, the simulation results verify the effectiveness of the proposed control model, i.e., the SOC balancing and proportional reactive power sharing are achieved as expected. Furthermore, our approach has the fast convergent speed of SOC balancing of BESSs, compared to the existed method.

【 授权许可】

Unknown