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基于有功微分补偿与虚拟惯量自适应的光储VSG控制策略

郭磊磊 贾凯阳 朱虹 孙健 金楠 李琰琰 徐海珍

电力系统保护与控制2024,Vol.52Issue(10):21-31,11.
电力系统保护与控制2024,Vol.52Issue(10):21-31,11.DOI:10.19783/j.cnki.pspc.231365

基于有功微分补偿与虚拟惯量自适应的光储VSG控制策略

Control strategy for a PV energy storage VSG based on active power differential compensation and virtual inertia adaptive strategy

郭磊磊 1贾凯阳 1朱虹 2孙健 2金楠 1李琰琰 1徐海珍3

作者信息

  • 1. 郑州轻工业大学电气信息工程学院,河南 郑州 450002
  • 2. 中国能源建设集团安徽省电力设计院有限公司,安徽 合肥 230601
  • 3. 合肥大学,安徽 合肥 230601
  • 折叠

摘要

Abstract

There is a problem in that it is difficult to balance the steady-state deviation of grid-connected active power with the dynamic oscillation of the system in a traditional PV storage virtual synchronous generator(VSG).Thus a PV storage VSG control strategy based on active power differential compensation(APDC)and virtual inertia adaptive strategy is proposed.First,a closed-loop small signal model of a PV energy storage VSG based on the APDC algorithm is established,and the suppression effect of the algorithm on transient oscillation and steady-state deviation of active power is determined by analyzing a pole map and Bode diagram,and the tuning method of correlation coefficient is given.Then,to improve the frequency response performance and avoid the increase of active power overshoot,an improved virtual inertia adaptive strategy based on the APDC algorithm is designed,and the range of its parameters is given.Finally,experimental results show that the proposed strategy can eliminate the dynamic oscillation and steady-state deviation of the VSG grid-connected active power,with smaller frequency deviation and change rate.

关键词

光储VSG/稳态偏差/小信号模型/有功功率振荡/虚拟惯量

Key words

PV energy storage VSG/steady-state deviation/small signal model/active power oscillation/virtual inertia

引用本文复制引用

郭磊磊,贾凯阳,朱虹,孙健,金楠,李琰琰,徐海珍..基于有功微分补偿与虚拟惯量自适应的光储VSG控制策略[J].电力系统保护与控制,2024,52(10):21-31,11.

基金项目

This work is supported by the National Natural Science Foundation of China(No.U2004166). 国家自然科学基金项目资助(U2004166) (No.U2004166)

河南省科技攻关计划项目资助(212102210021,232102241026) (212102210021,232102241026)

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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