摘要
针对运维水平难以应对配电终端大规模接入电网的问题,提出一种基于数据驱动的配电终端缺陷分析及自诊断方法。首先分析配电终端缺陷的影响因素和缺陷特征,根据配电终端的结构模型,融合关联规则Apriori算法,提出基于数据驱动的配电终端缺陷分析及自诊断方法,然后通过分析配电终端缺陷产生机制,对配电终端缺陷进行多维度综合自诊断。最后以实际配电终端缺陷数据算例验证了所提方法的实用性。
For current maintenance can not cope with the large-scale integration of distribution terminal units,a data-driven analytical and self-diagnostic method is proposed for distribution terminal defects.Firstly,factors leading to distribution terminal defects and characteristics of defects are analyzed.Based on the configuration of distribution terminal and Apriori algorithm,data-driven analytical and self-diagnostic method is proposed.Then through analyzing the mechanism of distribution terminal defects,the multi-dimensional comprehensive self-diagnosis of distribution terminal defects is carried out.Finally,the practicality of this method is verified by real distribution terminal defects data.
作者
汤奕
张雪岑
刘强
刘国峰
朱正谊
TANG Yi;ZHANG Xuecen;LIU Qiang;LIU Guofeng;ZHU Zhengyi(School of Electrical Engineering,Southeast University,Nanjing 210096,China;School of Cyber Science and Engineering,Southeast University,Nanjing 210096,China;State Grid Jiangsu Nanjing Power Supply Company,Nanjing 210000,China)
出处
《智慧电力》
北大核心
2021年第6期17-23,115,共8页
Smart Power
基金
国家电网有限公司科技项目(SGJSNJ00KHJS2000556)。
