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

级联故障 加权 复杂网络 计算机科学 可靠性工程 网络拓扑 网格 电力系统 可靠性(半导体) 分布式计算 级联 聚类分析 拓扑(电路) 聚类系数 功率(物理) 数据挖掘 工程类 人工智能 计算机网络 数学 电气工程 医学 物理 放射科 万维网 量子力学 化学工程 几何学
作者
Di Zhang,Limin Jia,Ning Jin,Yujiang Ye,Hao Sun,Ruifeng Shi
出处
期刊:Energies [MDPI AG]
卷期号:16 (2): 990-990 被引量:10
标识
DOI:10.3390/en16020990
摘要

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.

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