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智能家庭用电多目标优化方案研究
引用本文:蒋欣瑞,李勇成,周小林.智能家庭用电多目标优化方案研究[J].上海师范大学学报(自然科学版),2023,52(4):412-417.
作者姓名:蒋欣瑞  李勇成  周小林
作者单位:复旦大学 信息科学与工程学院, 上海 200438
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.

关 键 词:智能电网  粒子群算法  多目标优化  能源管理
收稿时间:2023/6/28 0:00:00

Research on multi-objective optimization scheme for smart home electricity consumption
JIANG Xinrui,LI Yongcheng,ZHOU Xiaolin.Research on multi-objective optimization scheme for smart home electricity consumption[J].Journal of Shanghai Normal University(Natural Sciences),2023,52(4):412-417.
Authors:JIANG Xinrui  LI Yongcheng  ZHOU Xiaolin
Institution:School of Information Science and Engineering, Fudan University, Shanghai 200438, China
Abstract: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.
Keywords:smart grid  particle swarm algorithm  multi-objective optimization  energy management
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