Title: Modelling and computer simulation analysis of cascading failure probability of heterogeneous complex power grid for green energy system
Authors: Jinggang Wang; Xiaojiu Ma; Fanbin Meng; Zhe Liu; Yafei Wu; Bo Liu; Zhenzhen Kong
Addresses: State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China ' State Grid Henan Electric Power Company, Kaifeng Power Supply Company, Kiafeng, 45000, China
Abstract: The high proportion of renewable energy integration endows the power grid with prominent heterogeneous features, including expanded node capacity differences, discrete line impedance, and dynamic power flow variations. Traditional models based on homogeneity assumptions are incompetent to accurately characterise the cascading failure mechanisms of such grids. To address this gap, this paper proposes a cascading failure probability model that integrates heterogeneous topology, dynamic power flow, and cyber-physical coupling. Firstly, a multi-dimensional heterogeneity indicator system, encompassing node capacity heterogeneity, electrical betweenness Gini coefficient, and bidirectional power flow index, is established to quantify the structural, operational, and coupling heterogeneity of green power grids. The results provide theoretical basis and quantitative tools for planning and real-time prevention and control of highly elastic green power grid.
Keywords: computer simulation; cascading failure probability; heterogeneous; complex power grid; green energy system.
DOI: 10.1504/IJGEI.2026.153245
International Journal of Global Energy Issues, 2026 Vol.48 No.8, pp.90 - 110
Received: 18 Dec 2025
Accepted: 26 Feb 2026
Published online: 29 Apr 2026 *


