Cascading Fault Prevention of Power Grid Based on Key Power Generation Nodes

Autor: Kuo-Chi Chang, Qin-Bin Li, Rong-Jin Zheng, Jie Luo, Hui-Qiong Deng, Pei-Qiang Li
Rok vydání: 2021
Předmět:
Zdroj: Advances in Intelligent Information Hiding and Multimedia Signal Processing ISBN: 9789813364196
DOI: 10.1007/978-981-33-6420-2_13
Popis: In the case of power grid cascading trip, this study puts forward a strategy to prevent cascading trip by changing the output of generator set. Firstly, according to the specific performance of the power grid under the cascade tripping, combined with the action behavior of the line current-type backup protection, and an expression equation for measuring the safety level index between the power grid and the cascading trip failure is given. Secondly, the vulnerable branch is found out through the safety level index, the output of the key power generation nodes on the branch is taken as the optimization variable, and the optimization model is established to improve the safety level index under the chain trip of the power grid. Finally, a combination of sensitivity analysis and particle swarm optimization(PSO) was used to analyze an example on the IEEE-39 node system. The results demonstrate the feasibility and effectiveness of the model and method, and provide a reference for preventing chain trip accidents.
Databáze: OpenAIRE