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考虑风电机组故障电压穿越特性的连锁故障关键线路辨识

徐箭 贺中豪 廖思阳 邹曜坤 孙元章 杨军

电力系统自动化2024,Vol.48Issue(2):82-94,13.
电力系统自动化2024,Vol.48Issue(2):82-94,13.DOI:10.7500/AEPS20230711001

考虑风电机组故障电压穿越特性的连锁故障关键线路辨识

Identification of Critical Lines for Cascading Failures Considering Fault Voltage Ride-through Characteristics of Wind Turbines

徐箭 1贺中豪 1廖思阳 1邹曜坤 1孙元章 1杨军1

作者信息

  • 1. 武汉大学电气与自动化学院,湖北省武汉市 430072
  • 折叠

摘要

Abstract

The integration of renewable energy increases the likelihood of cascading failures,posing challenges in identifying critical lines during fault propagation.In light of this,a cascading failure simulation model that incorporates the fault voltage ride-through characteristics of wind turbines and line reliability is built.An indicator evaluation set of line comprehensive risk is also introduced,which encompasses line load loss severity and non-uniformity,and structural vulnerability perspectives.The security risk index and the uneven risk index are defined based on the state-failure-network,the degree of line load loss severity and non-uniformity.Based on the electrical betweenness,a fragile structure index accounting for distributed renewable energy access is proposed.Meanwhile,to measure the overall impact of line disconnection,a fuzzy entropy weight method is employed to define the comprehensive risk index,which considers the network structure and state transition characteristics of the power grid.Numerical examples involving the IEEE 39-bus and IEEE 118-bus systems validate the effectiveness of the proposed method in identifying critical lines.Additionally,mitigation measures for critical lines can significantly reduce the risk of blackouts.

关键词

连锁故障/新能源/风电机组/故障电压穿越/电气介数/模糊熵权法

Key words

cascading failure/renewable energy/wind turbine/fault voltage ride-through/electric betweenness/fuzzy entropy weight method

引用本文复制引用

徐箭,贺中豪,廖思阳,邹曜坤,孙元章,杨军..考虑风电机组故障电压穿越特性的连锁故障关键线路辨识[J].电力系统自动化,2024,48(2):82-94,13.

基金项目

国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U22B6006). This work is supported by National Natural Science Foundation of China-State Grid Joint Fund for Smart Grid(No.U22B6006). (U22B6006)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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