Research on the strategy of lithium-ion battery-supercapacitor hybrid energy storage to suppress power fluctuation of direct current microgrid

作     者：Zhang, Wei Zhong, Ming Han, Junfei Sun, Yumei Wang, Yang 

作者机构：Zhejiang Univ Polytech Inst Hangzhou 310015 Zhejiang Peoples R China Inner Mongolia Power Res Inst Hohhot 010020 Inner Mongolia Peoples R China Inner Mongolia Enterprise Key Lab Smart Grid Simu Hohhot 010020 Inner Mongolia Peoples R China Inner Mongolia Borelles Elect Power Engn Design C Hohhot 010020 Inner Mongolia Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES》 (国际低碳技术杂志)

年 卷 期：2022年第17卷第17期

页      面：1012-1017页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Project of Science and Technology of Inner Mongolia [2019GG373] 

主　　题：PSO supercapacitor battery HESS 

摘      要：The wide application of clean energy has promoted the development of microgrids. For direct current (DC) microgrids, power fluctuations are inevitable, because photovoltaics, wind power and other clean energy sources are very unstable, which will bring great trouble to DC microgrids. Hybrid energy storage systems (HESS) are an effective solution to suppress power fluctuations. For a HESS composed of battery and supercapacitor (SC), a low-pass filter is usually used to allocate energy and power requirements to each energy storage unit, but the filter constant of the filter cannot be dynamically adjusted to adapt to different situations. The low-pass filter compensation coefficient used in this paper will change with the state of charge and discharge and dynamically change and allocate different power requirements to the battery and SC according to the actual operating conditions of the HESS. The objective function of DC bus power fluctuation is established, and the optimized particle swarm algorithm (PSO) is used to obtain the output power coefficient of each energy storage unit. The output coefficient of the HESS control strategy has the characteristics of fast convergence speed and high computational efficiency in the optimization process, and it will not fall into the local optimal solution. Through the design experiment, the SC can withstand more high-frequency components, fully utilize the advantages of SC with fast response to power fluctuations, improve the performance of HESS and have great engineering application value.