Abstract
The energy systems in an AC-DC hybrid system containing wind power have the potential to trigger faults in each other. These faults can excite faults in other parts of the system. Based on the characteristics of chain faults, four related indicators are calculated: link prediction indicator, weighted tidal entropy indicator, AC/DC line coupling indicator, and wind power access ratio short-circuit ratio indicator, and the corresponding comprehensive weights are obtained by using the improved hierarchical analysis method and the comprehensive assignment method. Subsequently, the improved IEEE39-node wind power AC/DC hybrid grid is used as a simulation model for the study of chain faults, and the initial disconnected fault lines are determined and then the chain fault sequences are obtained by comparing the values of comprehensive indexes to the fault lines at all levels, and the simulation results verify that the method is effective.
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Acknowledgments
This work was funded by Natural Science Basic Research Plan in Shaanxi Province of China (2023-JC-YB-359), Postdoctoral Research Foundation of China (2020M683685XB) and National Natural Science Foundation of China (U2106218).
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Zhu, D., Chen, W., Bai, J., Liu, H., Duan, J. (2024). Cascading Failures Prediction of AC/DC Hybrid Power Grid Including Wind Power. In: Yang, Q., Li, Z., Luo, A. (eds) The Proceedings of the 18th Annual Conference of China Electrotechnical Society. ACCES 2023. Lecture Notes in Electrical Engineering, vol 1180. Springer, Singapore. https://doi.org/10.1007/978-981-97-1420-9_45
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DOI: https://doi.org/10.1007/978-981-97-1420-9_45
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