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 |