计算机工程与应用2016，Vol.52Issue(24)：246-250,5.DOI:10.3778/j.issn.1002-8331.1605-0394
可控家用电器负荷优化模型及用电策略研究
Research on optimization model and power strategy of controllable household appli-ances' loads
摘要
Abstract
The optimization model of electric vehicle, air conditioner, water-heater is instituted based on the household intelligent power utilization system, with the goal of economy and comfort. The particle swarm optimization based on Q-learning is used to solve the optimization model, so the intelligent power strategy of household electric appliances is solved. With the optimization model and the algorithm of air conditioner, and through the simulation experiment, the room temperature is controlled, the cost is least and the convergence rate is fast, so the electricity consumption of air con-ditioner load is reduced and the comfort of the consumer is guaranteed.关键词
家用电器/优化模型/粒子群算法/Q学习算法/家庭智能用电系统Key words
household appliances/optimization model/particle swarm optimization/Q-learning algorithm/household intelligent power utilization system分类
信息技术与安全科学引用本文复制引用
张晓芳,谢俊..可控家用电器负荷优化模型及用电策略研究[J].计算机工程与应用,2016,52(24):246-250,5.基金项目
2015年太仓市重点研发计划(产业前瞻与共性关键技术)项目(No.TC2015GY13). （产业前瞻与共性关键技术）
