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投稿时间:2018-05-21
投稿时间:2018-05-21
中文摘要: 随着智能电网建设的深入,许多智能仪表被接入电网以获取用户的实时负荷数据。由于用户数量众多,单独对个体进行数据处理和分析是不现实的,所以需要对用户进行分类。采用模糊聚类算法来处理负荷侧不同用户的用电负荷数据,随机抽取了某小区的25个用户数据,并对其用电行为进行了分类。结合聚类有效性指标得到了算法的最佳聚类数,并进行了仿真分析。结果表明,模糊聚类算法在负荷侧不同用户用电行为分类中有着较好的表现。
Abstract:With the deepening of smart grid construction,many smart meters are connected to the grid to obtain real-time load data from users.Due to the large number of users,it is unrealistic to individually perform data processing and analysis on individuals.Therefore,users need to be classified.The fuzzy clustering algorithm is used to deal with the user load data,and the user's electricity consumption behavior in a certain cell is classified.The optimal clustering number in the FCM algorithm is obtained through the clustering validity index.The experimental simulation analysis shows that the fuzzy clustering algorithm has an excellent performance in the grid user classification.
文章编号:20185015 中图分类号: 文献标志码:
基金项目:
作者 | 单位 | |
谷涛 | 上海电力学院 计算机科学与技术学院 | 630414436@qq.com |
刘大明 | 上海电力学院 计算机科学与技术学院 |
引用文本:
谷涛,刘大明.基于模糊聚类算法的智能电网用户分类[J].上海电力大学学报,2018,34(5):497-500.
GU Tao,LIU Daming.Classification of Smart Grid Users Based on Fuzzy Clustering Mean Algorithm[J].Journal of Shanghai University of Electric Power,2018,34(5):497-500.
谷涛,刘大明.基于模糊聚类算法的智能电网用户分类[J].上海电力大学学报,2018,34(5):497-500.
GU Tao,LIU Daming.Classification of Smart Grid Users Based on Fuzzy Clustering Mean Algorithm[J].Journal of Shanghai University of Electric Power,2018,34(5):497-500.