智能家庭用电多目标优化方案研究  

Research on multi-objective optimization scheme for smart home electricity consumption

作　　者：蒋欣瑞 李勇成 周小林[1] JIANG Xinrui;LI Yongcheng;ZHOU Xiaolin(School of Information Science and Engineering,Fudan University,Shanghai 200438,China)

机构地区：[1]复旦大学信息科学与工程学院,上海200438

出　　处：《上海师范大学学报（自然科学版）》2023年第4期412-417,共6页Journal of Shanghai Normal University(Natural Sciences)

摘　　要：分析了家庭用电的微电网系统,研究了粒子群算法以及多目标优化理论.在此基础上,设计了一种面向家庭用电的多目标优化模型,利用人工智能粒子群算法处理多维目标函数,制定了用电优化策略.计算机仿真结果表明,该策略有效优化了家庭能耗,达到了节能减排的目的.the microgrid system for home electricity consumption was analyzed,and the particle swarm algorithm as well as the multi-objective optimization theory were studied.On this basis,a multi-objective optimization model for household electricity consumption was designed,and the power consumption optimization strategy was formulated by using artificial intelligence particle swarm algorithm to process the multi-dimensional objective function.The computer simulation showed that the above strategy effectively optimized the household energy consumption and achieved the purpose of energy saving and emission reduction.

关 键 词：智能电网 粒子群算法 多目标优化 能源管理 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]