A TOPSIS-Based Vulnerability Assessment Method of Distribution Network Considering Network Topology and Operation Status
Juan Wen, Siyu Lin, Xing Qu, Qiankang Xiao
Abstract
Vulnerability assessment is one of the effective ways to prevent cascading failures of a distribution network (DN). Aiming to accurately identify the vulnerable parts of the DN, a comprehensive assessment method based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) considering topological structure and operation status is proposed. Considering the radial topology of DN, the structural vulnerability indices based on complex network theory are extended, such as degree and network efficiency. According to the system power flow and the network topology, the state vulnerability indices are established, such as electrical betweenness and power flow transfer entropy. Combining the Analytic Hierarchy Process (AHP) and the entropy weight method to obtain the comprehensive weight to give weight to each vulnerability index. The weighted vulnerability indices are substituted into the TOPSIS method to calculate the comprehensive vulnerability of each node and line in the DN where the obtained results are corrected by the grey correlation degree. The system transmission efficiency index is established to describe the degree of system performance degradation of the DN under different attack strategies. The simulation results of IEEE 33-bus test case show that the proposed method can effectively identify vulnerable nodes and lines in the DN.