Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid

On the basis of analyzing the difference between the long-term evolution process and the short-term evolution process of the power grid, the concept of power grid cascading failure operation risk is proposed, the relationship between the long-term risk of cascading failure and operation risk is quan...

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Main Authors: Shi MO, Qiushi XU, Zijing LU, Zishou LI, Hongsheng ZHAO, Li QIAO, Chao LUO
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2024-02-01
Series:Zhongguo dianli
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Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311114
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author Shi MO
Qiushi XU
Zijing LU
Zishou LI
Hongsheng ZHAO
Li QIAO
Chao LUO
author_facet Shi MO
Qiushi XU
Zijing LU
Zishou LI
Hongsheng ZHAO
Li QIAO
Chao LUO
author_sort Shi MO
collection DOAJ
description On the basis of analyzing the difference between the long-term evolution process and the short-term evolution process of the power grid, the concept of power grid cascading failure operation risk is proposed, the relationship between the long-term risk of cascading failure and operation risk is quantitatively analyzed, and a power grid cascading failure operation risk assessment model is established. The Monte Carlo method is used to simulate the evolution of the power grid with a given initial operating mode, and a fuzzy segmentation multi-objective risk framework is introduced to establish an evaluation index system. An example study was conducted in the IEEE 118 node system to analyze the impact of system operating parameters on the risk of power grid cascading failure under a given operating mode.
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id doaj-art-0d0fe99e26754bdc92aa86b86d8fda8c
institution DOAJ
issn 1004-9649
language zho
publishDate 2024-02-01
publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-0d0fe99e26754bdc92aa86b86d8fda8c2025-08-20T02:47:33ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492024-02-01572414810.11930/j.issn.1004-9649.202311114zgdl-57-2-moshiFuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power GridShi MO0Qiushi XU1Zijing LU2Zishou LI3Hongsheng ZHAO4Li QIAO5Chao LUO6State Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, ChinaState Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan 430077, ChinaState Grid Hubei Electric Power Co., Ltd., Wuhan 430077, ChinaState Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, ChinaState Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, ChinaCentral Southern China Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Wuhan 430071, ChinaOn the basis of analyzing the difference between the long-term evolution process and the short-term evolution process of the power grid, the concept of power grid cascading failure operation risk is proposed, the relationship between the long-term risk of cascading failure and operation risk is quantitatively analyzed, and a power grid cascading failure operation risk assessment model is established. The Monte Carlo method is used to simulate the evolution of the power grid with a given initial operating mode, and a fuzzy segmentation multi-objective risk framework is introduced to establish an evaluation index system. An example study was conducted in the IEEE 118 node system to analyze the impact of system operating parameters on the risk of power grid cascading failure under a given operating mode.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311114cascading failureoperational riskmonte carlo method
spellingShingle Shi MO
Qiushi XU
Zijing LU
Zishou LI
Hongsheng ZHAO
Li QIAO
Chao LUO
Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
Zhongguo dianli
cascading failure
operational risk
monte carlo method
title Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
title_full Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
title_fullStr Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
title_full_unstemmed Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
title_short Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
title_sort fuzzy partitioned multi objective risk framework based operational risk assessment of cascading failure for power grid
topic cascading failure
operational risk
monte carlo method
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311114
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