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基于过载特性修正的EV-VSG事件触发控制与最小切负荷优化

王书征 吴昊德 徐明冉

广东电力2026,Vol.39Issue(8):45-53,9.
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广东电力2026,Vol.39Issue(8):45-53,9.DOI:10.3969/j.issn.1007-290X.2026.08.005

基于过载特性修正的EV-VSG事件触发控制与最小切负荷优化

EV-VSG Event-triggered Control and Minimum Load-shedding Optimization Based on Overload Characteristic Correction

王书征 1吴昊德 1徐明冉1

作者信息

  • 1. 南京工程学院 电力工程学院 沈国荣学院,江苏,南京 211167
  • 折叠

摘要

Abstract

This paper proposes an event-triggered control and minimum load shedding method based on overload characteristic correction of EV-VSG for village-level DC microgrids under unplanned islanding to address the problems of source-load imbalance,DC bus voltage deviation and the over-shedding problem of traditional fixed-step schemes.First,an event-triggering window is built from the bus voltage deviation and its rate of change.Based on this window,the virtual inertia of EV-VSG is adjusted adaptively,and a limit is imposed on its output.Second,an allowable overload power envelope of the EV is constructed by considering the state of charge(SOC)and efficiency correction,so as to determine the available overload limit.Finally,a load shedding decision mechanism is established according to the power deficit and the available overload capacity of the main energy storage and EVs,and a minimum load shedding model with load priority and granularity constraints is solved.Simulation results show that the proposed method makes voltage recovery smoother and faster.Within the 0~3 s transient period,the cumulative load shedding is about 13.8%of the total load,which is reduced by about 72.3%and 66.0%compared with the two reference strategies.The method makes good use of the EV overload capability and reduces load loss while maintaining system stability.

关键词

直流微电网/非计划离网/电动汽车/虚拟同步发电机/事件触发/最小切负荷

Key words

DC microgrid/unplanned islanding/electric vehicle(EV)/virtual synchronous generator(VSG)/event-triggered control/minimum load shedding

分类

信息技术与安全科学

引用本文复制引用

王书征,吴昊德,徐明冉..基于过载特性修正的EV-VSG事件触发控制与最小切负荷优化[J].广东电力,2026,39(8):45-53,9.

基金项目

国家自然科学基金项目(52177077) (52177077)

梯级水电站运行与控制湖北省重点实验室(三峡大学)开放基金项目(2024KJX02) (三峡大学)

广东电力

1007-290X

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