Power Grid Structure Performance Evaluation Based on Complex Network Cascade Failure Analysis

• Published in: Energies (Basel) 2023-01, Vol.16 (2), p.990
• Main Authors: Zhang, Di, Jia, Limin, Ning, Jin, Ye, Yujiang, Sun, Hao, Shi, Ruifeng
• Format: Article
• Language: English
• Subjects: cascade failure; Clustering; complex networks; evaluation methodology; Failure analysis; grid structure performance; Indicators; Network reliability; Network topologies; Performance assessment; Performance evaluation; Power plants; Reliability analysis; Security; Topology; weak point identification; Weighting methods
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en16020990

A safe and stable operation power system is very important for the maintenance of national industrial security and social economy. However, with the increasing complexity of the power grid topology and its operation, new challenges in estimating and evaluating the grid structure performance have received significant attention. Complex network theory transfers the power grid to a network with nodes and links, which helps evaluate the system conveniently with a global view. In this paper, we employ the complex network method to address the cascade failure process and grid structure performance assessment simultaneously. Firstly, a grid cascade failure model based on network topology and power system characteristics is constructed. Then, a set of performance evaluation indicators, including invulnerability, reliability, and vulnerability, is proposed based on the actual functional properties of the grid by renewing the power-weighted degree, medium, and clustering coefficients according to the network cascade failure. Finally, a comprehensive network performance evaluation index, which combines the invulnerability, reliability, and vulnerability indicators with an entropy-based objective weighting method, is put forward in this study. In order to confirm the approach’s efficacy, an IEEE-30 bus system is employed for a case study. Numerical results show that the weighted integrated index with a functional network could better evaluate the power grid performance than the unweighted index with a topology network, which demonstrates and validates the effectiveness of the method proposed in this paper.