| 基于模糊聚类的电力用电负荷用户识别分析 |
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| 引用本文： | 靳盘龙,宫建锋,党东升,杨阳,张斌,陈凤涛.基于模糊聚类的电力用电负荷用户识别分析[J].微型电脑应用,2020(3):117-119. |
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| 作者姓名： | 靳盘龙 宫建锋 党东升 杨阳 张斌 陈凤涛 |
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| 作者单位： | 国网宁夏电力有限公司经济技术研究院;国电华研（北京）电力咨询有限公司 |
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| 摘 要： | 为了提高电力用电负荷用户的精细化管理,提出了一种基于模糊聚类的电力用电负荷用户识别分析方法。分析了某区域用户的工业负荷变化规律,研究了电力数据与天气之间的改变及其日负荷特征曲线,同时引入模糊聚类分析方法,对上述工业负荷的用电特征进行了判断。选择某区域的工业负荷用户进行研究,对用户进行负荷曲线计算。并通过实验测试来验证本文方法的可行性,以此作为供电公司对用电数据进行精细管理的参考依据。
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| 关 键 词： | 模糊聚类 相似度 负荷特性 日负荷曲线 |
Power Load User Identification Analysis Based on Fuzzy Clustering |
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| JIN Panlong,GONG Jianfeng,DANG Dongsheng,YANG Yang,ZHANG Bin,CHEN Fengtao.Power Load User Identification Analysis Based on Fuzzy Clustering[J].Microcomputer Applications,2020(3):117-119. |
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| Authors: | JIN Panlong GONG Jianfeng DANG Dongsheng YANG Yang ZHANG Bin CHEN Fengtao |
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| Affiliation: | (Institute of Economic and Technology, State Grid Ningxia Electric Power Co. Ltd., Yinchuan 750000;Guodian Huayan (Beijing) |
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| Abstract: | In order to improve the fine management of power load users,a method of identifying and analyzing power load users based on fuzzy clustering is proposed.This paper analyzes the industrial load variation rule of the users in a certain area,deeply studies the change between the power data,and the weather and the daily load characteristic curves.It introduces the fuzzy cluster analysis method to judge the electricity characteristics of the above industrial loads.Industrial load users in a certain area are selected for research,and load curves are calculated for unknown users.The feasibility of the method proposed in this paper is verified by experimental test,which serves as a reference for the power supply company to conduct fine management of power consumption data. |
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| Keywords: | Fuzzy clustering Similarity Load characteristics Daily load curve |
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