Power outage accidents are caused by chain failures caused by the failure of vulnerable components affecting a certain range of components. Identifying the spread impact range of vulnerable nodes can effectively improve the system’s vulnerability. Large-scale wind power grids connection increases the complexity of the power systems and brings new challenges to the identification and simulation of vulnerable nodes. In this paper, a method for identification of vulnerable node groups in wind power grids is proposed. The method identifies the central node of the vulnerable node groups in wind power grids based on interval electrical number, and determines the influence range of the central node through the minimum K-order structure entropy, so as to obtain the vulnerable node groups in wind power grids. An IEEE-39 bus system with wind power is used to verify the rationality of the proposed method, which provides a reference for the prevention and control of interlocking faults of power grids with wind power.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.