Open AccessResearch on Optimization of Robustness for Cascading Failure in Power Grid
Author(s) -
Mingyue Liang,
Yanli Zou
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032046
Subject(s) - cascading failure , robustness (evolution) , network topology , computer science , topology (electrical circuits) , power grid , power network , electric power system , reliability engineering , network science , interdependent networks , grid , complex network , distributed computing , power (physics) , engineering , computer network , electrical engineering , mathematics , biochemistry , physics , chemistry , geometry , quantum mechanics , world wide web , gene
When considering the cascading failures or the robust performance of the power network, most of the researches in network science are based on the topology of the power network. However, according to some researches, only using the topology of the power network can not reasonably evaluate the robustness of the power network.Therefore, when considering the cascading failures in the power network, we must combine the electrical characteristics with the network topology to make a better evaluation. From the perspective of network science, the related research on cascading failures has made a lot of progress. In order to optimize the robustness of power network, the optimal topology of power network is designed under the cascading failure model combined with real electrical characteristics.