宋惠忠,顾华忠,顾韬,韦安强,周子誉
SONG Huizhong,GU Huazhong,GU Tao,WEI Anqiang,ZHOU Ziyu

• 1:国网浙江海宁市供电有限公司
• 2:国网浙江省电力有限公司嘉兴供电公司

摘要(Abstract)：

针对目前中低压配电网线损治理中存在的影响因素多、基础数据量大、异常诊断分析复杂、排查效率低等问题,结合多年线损管理经验,构建了中低压配电网线损智能诊断模型。通过融合PMS2.0系统、用电采集系统、营销业务系统的设备档案、用户档案、用电负荷等多源数据,采用多维度的分析视角叠加,实现低压配电网线损异常的智能诊断,精准定位导致线损异常的关键节点,极大提高了线损管理水平,取得了显著的管理效益、经济效益和社会效益。
In view of the numerous influencing factors, mass base data, complex abnormality diagnosis and analysis and inefficient inspection in line loss treatment of intermediate and low voltage distribution networks,an intelligent line loss diagnosis model for intermediate and low voltage distribution networks was established in accordance to years of successful line loss management experience. By integration with equipment archives of PMS 2.0, power consumption acquisition system, marketing business system and consumer archives and power consumption load, the model can intelligently diagnose abnormal line loss of intermediate and low voltage distribution networks by multi-dimensional analysis prospective overlap to accurately locate key nodes of abnormal line loss, through which line loss management is improved, great management benefit and social benefit are achieved.

关键词(KeyWords)： 配电网;线损;数据挖掘;智能诊断
distribution networks;line loss;data mining;intelligent diagnosis

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 宋惠忠,顾华忠,顾韬,韦安强,周子誉
SONG Huizhong,GU Huazhong,GU Tao,WEI Anqiang,ZHOU Ziyu

DOI: 10.19585/j.zjdl.201712012

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