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级联型储能系统中虚拟同步发电机控制及电池自均衡策略

李新 杨苒晨 邵雨亭 胡耀威 陈国柱

电力系统自动化2018,Vol.42Issue(9):180-187,8.
电力系统自动化2018,Vol.42Issue(9):180-187,8.DOI:10.7500/AEPS20171115001

级联型储能系统中虚拟同步发电机控制及电池自均衡策略

Strategy of Virtual Synchronous Generator Control and Battery Balancing in Cascaded H-bridge Based Energy Storage System

李新 1杨苒晨 1邵雨亭 1胡耀威 1陈国柱1

作者信息

  • 1. 浙江大学电气工程学院,浙江省杭州市310027
  • 折叠

摘要

Abstract

Considering that the low voltage and small capacity ratings of traditional distributed energy storage system cannot meet the increasing capacity of renewable energy,the battery energy storage system(BESS)based on cascaded H-bridge topology is presented to achieve high-voltage and large-capacity.Moreover,in order to make BESS connected to grid friendly, the virtual synchronous generator(VSG)is investigated.Firstly,the second-order equivalent model of synchronous generator (SG)is analyzed and the VSG control strategy for BESS is given combined with primary frequency and voltage regulation of SG.Besides,the small signal dynamic model in wideband of VSG is established to analyze the inherent power coupling problem and the effect of AC side impedance on VSG control,also,the relationship between control parameters of VSG and performance of BESS is analyzed by frequency domain model,which provide the basis of stability analysis and the design and optimization of key parameters of VSG.Simultaneously,aiming to the problem of state of charge(SOC)balancing for sub-module batteries,a method based on improved nearest level modulation(I-NLM)is proposed and the modulation principle and implementation process are given.Finally,the effectiveness of VSG control on BESS and equalization method for SOC are verified through computer simulation.

关键词

电池储能系统/级联H桥变流器/虚拟同步发电机/功率耦合/改进型最近电平调制/荷电状态均衡

Key words

battery energy storage system(BESS)/cascaded H-bridge converter/virtual synchronous generator(VSG)/power coupling/improved nearest level modulation(I-NLM)/state of charge(SOC)balancing

引用本文复制引用

李新,杨苒晨,邵雨亭,胡耀威,陈国柱..级联型储能系统中虚拟同步发电机控制及电池自均衡策略[J].电力系统自动化,2018,42(9):180-187,8.

基金项目

国家自然科学基金资助项目(51177147).This work is supported by National Natural Science Foundation of China(No.51177147). (51177147)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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