电力系统自动化2018，Vol.42Issue(2)：50-57,8.DOI:10.7500/AEPS20170613013
考虑家电关联与舒适性相结合的用电行为多目标优化模型
Multi-objective Optimization Model of Electricity Consumption Behavior Considering Combination of Household Appliance Correlation and Comfort
摘要
Abstract
With the wide application of intelligent household appliances,the optimization of electricity behavior has become an important content of household intelligent electricity.Multi-objective optimization model in the environment of intelligent electricity is proposed from the two aspects of economy and comfort.Firstly,the load characteristics of the domestic consumer are analyzed and the operating constraints of the interruptible and transferable electrical appliances are defined. Then, considering the constraint conditions such as household electrical load and electricity consumption habit,the correlation minimization electricity expenditure model of household appliances and the comfort model of electricity consumption are designed to realize the multi-objective optimization.Finally,continuous search multi-objective particle swarm algorithm is proposed to solve the optimization model.The analysis of the example shows that the multi-objective optimization model can effectively reduce the cost of electricity and improve the comfort of electricity use.关键词
智能用电/用电行为习惯/用户舒适度/多目标粒子群算法Key words
intelligent electricity/electricity consumption behavior habit/customer satisfaction/multi-objective particle swarm引用本文复制引用
曲朝阳,韩晶,曲楠,刘耀伟,吕洪波,曲翀..考虑家电关联与舒适性相结合的用电行为多目标优化模型[J].电力系统自动化,2018,42(2):50-57,8.基金项目
国家自然科学基金重点项目(51437003) （51437003）
吉林省科技发展计划资助项目(20160623004TC). This work is supported by the State Key Program of National Natural Science Foundation of China (No.51437003) and Science and Technology Development Plan of Jilin Province(No.20160623004TC). （20160623004TC）
