Method for identifying weak link of power distribution network in typhoon weather based on RF-LSTM

The invention discloses an RF-LSTM-based weak link identification method for a power distribution network in typhoon weather, and the method employs a combined RF-LSTM algorithm, and improves the recognition precision and reliability of a conventional RF algorithm for the weak link of the power dist...

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Hauptverfasser: WANG YING, CHEN CHENGYOU, LI TIANRUI, FU BIAOBING, ZHOU DANYANG, CHEN MINGXU, YU MEIJI, HUANG XIAOYAN, WANG XUEYAN, ZOU HONGLIANG, YING WEIKUN, JIANG CHAOMING, GUO SASA, XU TENGCHONG, SHI JUHUI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an RF-LSTM-based weak link identification method for a power distribution network in typhoon weather, and the method employs a combined RF-LSTM algorithm, and improves the recognition precision and reliability of a conventional RF algorithm for the weak link of the power distribution network in typhoon weather. And meanwhile, weak link identification is performed on the power distribution network frame equipment, so that the initiative and pertinence of operation and maintenance work before typhoon weather comes are improved, and the probability of faults caused by typhoon weather is reduced. 本发明公开了一种基于RF-LSTM的配电网台风天气下薄弱环节识别方法,本发明利用组合RF-LSTM算法,提高了台风天气下传统RF算法对配电网薄弱环节识别的精度和可靠性;同时,通过对配电网网架设备进行薄弱环节识别,提升了台风天气来临前运维工作的主动性和针对性,降低了台风天气导致故障发生的概率。