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考虑充电站可调潜力的虚拟惯性功率补偿控制策略

施兴烨 柯松 张帆 唐建林 梁莉莉 杨军

电力系统自动化2024,Vol.48Issue(3):73-81,9.
电力系统自动化2024,Vol.48Issue(3):73-81,9.DOI:10.7500/AEPS20230601009

考虑充电站可调潜力的虚拟惯性功率补偿控制策略

Control Strategy for Virtual-inertial Power Compensation Considering Adjustable Potential of Charging Station

施兴烨 1柯松 1张帆 2唐建林 2梁莉莉 3杨军1

作者信息

  • 1. 交直流智能配电网湖北省工程中心,湖北省武汉市 430072||武汉大学电气与自动化学院,湖北省武汉市 430072
  • 2. 南方电网科学研究院有限责任公司,广东省广州市 510663||广东省电网智能量测与先进计量企业重点实验室,广东省广州市 510663
  • 3. 广东电网有限责任公司肇庆供电局,广东省肇庆市 526060
  • 折叠

摘要

Abstract

To address the problem of inertia insufficiency in microgrids due to the integration of renewable energy sources,an inertial power control strategy for charging stations in collaboration with renewable energy generation is proposed.First,considering that electric vehicles(EVs)have good flexible regulation potential,they are treated as the generalized energy storage at the charging station level to provide power response capability for the controller.Then,the control strategy of virtual-inertial power compensation is proposed in reference to the rotor operation characteristics of virtual synchronous generator(VSG),which can cooperate with renewable energy generation to provide frequency support.Finally,the corresponding simulation model is built on MATLAB/Simulink for verification.The simulation results show that the proposed control strategy of virtual-inertial power compensation can effectively make use of the regulation potential of charging stations to provide inertia support power to the system,so as to improve the frequency stability of the system.

关键词

可再生能源/惯量/电动汽车/储能/虚拟同步机

Key words

renewable energy source/inertia/electric vehicle/energy storage/virtual synchronous generator

引用本文复制引用

施兴烨,柯松,张帆,唐建林,梁莉莉,杨军..考虑充电站可调潜力的虚拟惯性功率补偿控制策略[J].电力系统自动化,2024,48(3):73-81,9.

基金项目

中国南方电网有限责任公司科技项目(031200KK52222008) (031200KK52222008)

国家自然科学基金资助项目(51977154). This work is supported by China Southern Power Grid Company Limited(No.031200KK52222008)and National Natural Science Foundation of China(No.51977154). (51977154)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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