改进PSO优化家庭能源管理系统控制策略  

Improved Particle Swarm Optimization Algorithm Optimize the Control Strategy of Family Energy Management System

作　　者：韦琦[1] 李世楠 朱莹莹 WEI Qi;LI Shi-nan;ZHU Ying-ying(School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150080,China)

机构地区：[1]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080

出　　处：《哈尔滨理工大学学报》2018年第2期70-77,85,共9页Journal of Harbin University of Science and Technology

基　　金：哈尔滨市科技创新人才项目(2013RFLXJ014)

摘　　要：针对如何更好地根据分时电价项目控制家庭负荷,管理好家庭能源的问题,依据对现有优化家庭用电负荷控制策略的算法分析,采用了改进粒子群优化算法对该控制策略的优化目标进行优化,建立了单用户、多用户家庭用电控制优化模型,并在MATLAB平台上,对优化目标及算法的多个约束条件对家庭能源控制结果会产生影响的各种因素进行仿真分析。结果显示利用改进粒子群优化算法对家庭用电负荷控制策略进行优化,无论是单用户还是多用户均可以达到节约电费、削峰填谷的效果。In order to better respond accding to the demand of TOU price control project management of family family load and energy,put forward the household electricity load control strategy,based on analysis of the existing household electricity load control strategies,using improved particle swarm optimization algorithm for the control strategy optimization target,the establishment of a single-user,multi-user household electricity control optimization model,In the MATLAB platform,the results of optimization algorithm are analyzed by simulation.The results show that use improved particle swarm optimization control strategy proposed can achieve the effect of saving electric power and cutting the peak and filling valley whether it is a single-user or multi-user average.

关 键 词：家庭能源管理 改进粒子群 负荷分析 节能 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]