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计及用电行为聚类的智能小区互动化需求响应方法

陆俊 朱炎平 彭文昊 祁兵 崔高颖

电力系统自动化2017,Vol.41Issue(17):113-120,8.
电力系统自动化2017,Vol.41Issue(17):113-120,8.DOI:10.7500/AEPS20161206006

计及用电行为聚类的智能小区互动化需求响应方法

Interactive Demand Response Method of Smart Community Considering Clustering of Electricity Consumption Behavior

陆俊 1朱炎平 1彭文昊 1祁兵 1崔高颖2

作者信息

  • 1. 华北电力大学电气与电子工程学院, 北京市 102206
  • 2. 国网江苏省电力公司电力科学研究院, 江苏省南京市 210003
  • 折叠

摘要

Abstract

To solve the users daily load demand response problem in the smart community under the complex, this paper proposes a bi-direction interactive demand response method amidst the smart grid and users, which considers the users' clustering for the electricity consumption behavior.Firstly, this paper builds the demand response model aiming at minimizing the load fluctuation in the grid, in which the constraints include the base load, schedulable load, pure electric vehicles load and storing device load.Secondly, the proposed method is depicted in detail, the solution procedure for the demand response model is decomposed into interactive collaboration between the two subordinate responses and the grid and users.Finally, the proposed method is implemented by a hybrid particle swarm optimization algorithm based on the particle's behavior modification, which is based on the clustering analysis of the users' electricity consumption behavior.Simulation results show that the proposed method is superior in performance to the comparative algorithms in terms of the optimization results and algorithm complexity and by means of the clustering analysis and interaction mechanism.

关键词

互动化需求响应/智能小区/聚类分析/需求响应方法

Key words

interaction demand response/smart community/clustering analysis/demand response method

引用本文复制引用

陆俊,朱炎平,彭文昊,祁兵,崔高颖..计及用电行为聚类的智能小区互动化需求响应方法[J].电力系统自动化,2017,41(17):113-120,8.

基金项目

国家电网公司科技项目(2015SGKJ10-1) (2015SGKJ10-1)

国家重点研发计划资助项目(2016YFB0901104).This work is supported by State Grid Corporation of China (No.2015SGKJ10-1) and National Key Research and Development Program of China (No.2016YFB0901104). (2016YFB0901104)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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