摘要
根据特殊负荷调查统计信息,甄别不同聚类分析的优缺点,提出了一种基于自适应神经网络系统聚类的特殊负荷分类方法,分别从负荷特性、供电可靠性与电能质量3个维度建立聚类指标,并以78个特殊负荷为样本进行聚类分析。结果表明,该方法快速有效,同类特殊负荷相似度高,各类特殊负荷之间差异明显。该分类方法可推广至典型特殊行业负荷分类,为配电网对特殊负荷采用相应的供电措施提供理论依据,便于供电部门制定特殊负荷供电服务。
Based on the information of the special load surveyed,by identifying advantages and disadvantages of different cluster analyses,a special load classification method based on self-adaptive neural network hierarchical cluster is proposed in this paper.Clustering indices are established from three dimensions of load characteristics,power supply reliability and power quality,and 78 special loads are taken as samples for the cluster analysis.The results show that the proposed method is fast and effective,the similarity of similar special loads is high,and differences between different kinds of special loads are obvious.This classification method can be extended to the load classification of typical special industries,providing theoretical basis for the distribution network to adopt corresponding power supply measures for special loads,and facilitates the power supply company to formulate power supply services for special loads.
作者
黎学春
高宇男
李磊
王付卫
李宏仲
孙伟卿
LI Xuechun;GAO Yunan;LI Lei;WANG Fuwei;LI Hongzhong;SUN Weiqing(Yuxi Power Supply Bureau,Yunnan Power Grid Co.,Ltd.,Yuxi653100,Yunnan,China;Shaoxing Power Supply Company,StateGrid Zhejiang Electric Power Co.,Ltd.,Shaoxing312000,Zhejiang,China;Department of Electrical Engineering,ShanghaiUniversity of Electric Power,Shanghai200090,China;School of Optical-Electrical and Computer Engineering,Shanghai Universityof Technology,Shanghai200090,China)
出处
《电网与清洁能源》
2019年第1期8-15,共8页
Power System and Clean Energy
基金
上海市科委青年科技英才“扬帆计划”(14YF1410100)~~
关键词
配电网
特殊负荷
神经网络
系统聚类
负荷特性
供电可靠性
电能质量
distribution network
special load
neural network
hierarchical cluster
load characteristic
power supply reliability
power quality