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

Bibliographic Details
Title: Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid
Authors: Shi MO, Qiushi XU, Zijing LU, Zishou LI, Hongsheng ZHAO, Li QIAO, Chao LUO
Source: Zhongguo dianli, Vol 57, Iss 2, Pp 41-48 (2024)
Publisher Information: State Grid Energy Research Institute, 2024.
Publication Year: 2024
Collection: LCC:Production of electric energy or power. Powerplants. Central stations
Subject Terms: cascading failure, operational risk, monte carlo method, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
More Details: 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.
Document Type: article
File Description: electronic resource
Language: Chinese
ISSN: 1004-9649
Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311114; https://doaj.org/toc/1004-9649
DOI: 10.11930/j.issn.1004-9649.202311114
Access URL: https://doaj.org/article/0d0fe99e26754bdc92aa86b86d8fda8c
Accession Number: edsdoj.0d0fe99e26754bdc92aa86b86d8fda8c
Database: Directory of Open Access Journals
More Details
ISSN:10049649
DOI:10.11930/j.issn.1004-9649.202311114
Published in:Zhongguo dianli
Language:Chinese