电热水器最佳功率多目标遗传算法优化控制  

Optimal Power Multi-Objective Genetic Algorithm Optimal Control of Electric Water Heater

作　　者：于冠杰[1] YU Guanjie(Student Section,Xinxiang Radio and Television University,Xinxiang 453000,China)

机构地区：[1]新乡广播电视大学学生处,河南新乡453000

出　　处：《自动化仪表》2023年第3期50-53,共4页Process Automation Instrumentation

摘　　要：为了提高电热水器(EWH)的使用效率,从智能用电控制技术角度考虑,对电价改变、外部温度以及用户的用水习惯进行了综合分析,构建了可以同时满足用电成本与舒适度要求的EWH优化策略。优化结果表明:在α取值为11/12时,电费降低了5%,而热不适只小幅增大2%。采用多目标优化控制模式能够获得最优EWH曲线,从而更好地完成需求响应。用户对EWH采取预加热或实时控温的方式,会提高系统的晚高峰用电负荷。为提升用户的舒适度,按照峰谷分时电价完成电价响应,通过发挥EWH储热作用,使负荷群获得的聚合功率保持到早晨。早晨时段属于低谷用电阶段,可以达到削峰填谷效果。该研究对智能家装的效率提高具有很好的实际指导意义。To improve the efficiency of electric water heater(EWH),the optimization strategy for EWH that can simultaneously meet the requirements of electricity cost and comfort is constructed by considering the change of electricity price,external temperature and users’water consumption habits from the perspective of intelligent electricity control technology.The optimization results show that the electricity cost is reduced by 5%with theαvalue of 11/12,while the thermal discomfort is only slightly increased by 2%.The use of multi-objective optimal control mode can obtain the optimal EWH curve,so as to better accomplish the demand response.Users taking pre-heating or choosing real-time temperature control for EWH will increase the evening peak electricity load of the system.To enhance the comfort of customers,the tariff response is completed according to the peak-valley time-sharing tariff,and the aggregated power obtained by the load group is maintained until the morning by playing the role of EWH heat storage.The morning hours belong to the low valley electricity consumption phase,which can achieve the peak and valley reduction effect.The study has good practical guidance for the efficiency improvement of smart home installation.

关 键 词：需求响应 多目标优化 电热水器 优化控制 用电负荷 

分 类 号：TH-39[机械工程]