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January 1, 2026International Journal of Innovation and Sustainable DevelopmentOpen Access

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

Yu Nan Jinggang Wang Yafei Wu Zhe Liu Bo Liu Xifeng Wang

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Key Points

The research aims to develop an algorithm to quickly identify cascading failures in AC-DC hybrid power grids by considering varying characteristics.
Developed a new identification algorithm for cascading failures
Analyzed heterogeneous characteristics of power grid components
Simulated various scenarios to test the algorithm's effectiveness
The algorithm successfully identifies cascading failures faster than traditional methods
Demonstrated improved reliability in AC-DC hybrid systems
Provided insights into the behavior of grid stability under various conditions

Implication

An algorithm identifies cascading failures in AC-DC hybrid power grids, suggesting improved grid reliability.

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Cite This Study

Nan et al. (2026) studied this question.

synapsesocial.com/papers/69b4fc44b39f7826a300d103 https://doi.org/10.1504/ijisd.2026.10076971

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Modelling and computer simulation analysis of cascading failure probability of heterogeneous complex power grid for green energy systemOriginal Research · 2026
2Communication Delay Effects and Mitigation in Renewable Energy Systems AC Grid and DC Grid: a Comprehensive ReviewReview · 2025
3Power grid safety monitoring system based on machine learning algorithmsOriginal Research · 2026
4A new droop control strategy for hybrid AC/DC microgrids in islanded modeOriginal Research · 2026
5Research on wide-area protection algorithms for power grids based on fault charge quantity comparison and distributed computingOriginal Research · 2026

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