Apriori algorithm-based power grid fault determination method and storage medium

The invention discloses a power grid fault determination method based on an Apriori algorithm and a storage medium, standardized fault data is input into a pre-constructed fault diagnosis model to obtain a fault type, and the method comprises the following steps: iteratively screening by using the A...

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Hauptverfasser: YANG PENGHUI, XIONG XIAOCHUAN, YUN SO-SOON, WANG FEI, LI XUEFANG, HUANG BO, WEI QIAOSUO, LI LI, ZHANG XI, SUN SHAOCHEN, ZHENG TUO, LI HONGWEI, ZHANG MINGXIANG, YIN PIXIANG, CHEN QIUTAO, SONG YINSONG, MA JIALIANG, WANG HUAICE, DING SHIQIONG, ZHOU HAICHENG, XU XUESHUAI, QIAN QIUMING
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a power grid fault determination method based on an Apriori algorithm and a storage medium, standardized fault data is input into a pre-constructed fault diagnosis model to obtain a fault type, and the method comprises the following steps: iteratively screening by using the Apriori algorithm and a preset support degree in the fault diagnosis model to obtain a fault factor frequent item set in the standardized fault data; calculating a preset confidence coefficient in the fault diagnosis model; and sorting the fault factor frequent item sets by using a pre-established logic relation database between the fault factor frequent item sets and the fault types and a preset confidence coefficient in the fault diagnosis model to obtain the fault types. According to the method, historical fault data are scanned, fault-tolerant processing and generalization are carried out, the fault diagnosis model is established, the fault type is explored from the macroscopic perspective, and comprehensive ana