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

被引：0
|
作者：
Lu J. [1 ]
Zhu Y. [1 ]
Peng W. [1 ]
Qi B. [1 ]
Cui G. [2 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] Electric Power Research Institute of State Grid Jiangsu Electric Power Company, Nanjing
来源：
Lu, Jun (lujun@ncepu.edu.cn) | 1600年 / Automation of Electric Power Systems Press卷 / 41期
关键词：
Clustering analysis; Demand response method; Interaction demand response; Smart community;
D O I：
10.7500/AEPS20161206006
中图分类号：
学科分类号：
摘要：
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. © 2017 Automation of Electric Power Systems Press.
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页码：113 / 120
页数：7
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