Article: Fast identification algorithm for cacading failures of AC-DC hybrid green power grid considering heterogeneous characteristics Journal: International Journal of Innovation and Sustainable Development (IJISD) 2026 Vol.20 No.8 pp.25 - 41 Abstract: Aiming at the severe hazards caused by frequent cascading failures in AC-DC hybrid green power grids with high renewable energy penetration - such as fast propagation speed, complex paths, and the difficulty of traditional homogeneous models in describing nonlinear evolution - a "fast identification algorithm of cascading failures of AC-DC hybrid green power grid considering heterogeneous characteristics" is proposed. Firstly, the line non-uniformity index (LNI) and DC system instability index (DCSI) indices are constructed to quantify the spatial differences in component bearing capacity and AC-DC coupling characteristics. Finally, the cooperative prevention and control strategy is generated with control cost, power flow balance and system stability as multi-objectives. The effectiveness of the heterogeneous quality index and the advantages of high precision and quick response of the method are verified, which provides a feasible technical way for online security defence of AC/DC hybrid power grid with high proportion of new energy. Inderscience Publishers - linking academia, business and industry through research

Title: Fast identification algorithm for cacading failures of AC-DC hybrid green power grid considering heterogeneous characteristics

Authors: Yu Nan; Jinggang Wang; Yafei Wu; Zhe Liu; Bo Liu; Xifeng Wang

Addresses: State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China ' State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China ' State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China ' State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China ' State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China ' State Grid Henan Electric Power Company Kaifeng Power Supply Company, Kaifeng, 450000, China

Abstract: Aiming at the severe hazards caused by frequent cascading failures in AC-DC hybrid green power grids with high renewable energy penetration - such as fast propagation speed, complex paths, and the difficulty of traditional homogeneous models in describing nonlinear evolution - a "fast identification algorithm of cascading failures of AC-DC hybrid green power grid considering heterogeneous characteristics" is proposed. Firstly, the line non-uniformity index (LNI) and DC system instability index (DCSI) indices are constructed to quantify the spatial differences in component bearing capacity and AC-DC coupling characteristics. Finally, the cooperative prevention and control strategy is generated with control cost, power flow balance and system stability as multi-objectives. The effectiveness of the heterogeneous quality index and the advantages of high precision and quick response of the method are verified, which provides a feasible technical way for online security defence of AC/DC hybrid power grid with high proportion of new energy.

Keywords: fast identification; cascading failures; AC-DC hybrid green power grid; heterogeneous characteristics; multi-objective optimisation; line non-uniformity index; DCSI; DC system instability index.

DOI: 10.1504/IJISD.2026.155830

International Journal of Innovation and Sustainable Development, 2026 Vol.20 No.8, pp.25 - 41

Received: 20 Dec 2025
Accepted: 16 Feb 2026
Published online: 24 Aug 2026 *

Title: Fast identification algorithm for cacading failures of AC-DC hybrid green power grid considering heterogeneous characteristics

Keep up-to-date