基于云模型理论的家用电热水器优化控制策略

Optimal Control Strategy for Domestic Electric Water Heaters Based on Cloud Model Theory

针对居民用户家用电热水器(electric water heater,EWH)电能消耗较大的问题,提出一种基于云模型理论的家用电热水器优化控制策略。该控制策略以电热水器水箱内的实时水温和电网下发至居民用户的电价作为云模型发生器的前件,电热水器的实时功率档位值作为云模型发生器的后件,建立以居民用户家用电热水器用电花费最少为优化目标的控制策略。同时,经过云模型控制器对电热水器的用户参数调整,实现了将居民用户早晚用电高峰转移至其他用电低谷时期的良好效果。仿真结果表明,在满足居民用户基本用水温度需求的前提下,该方法能够有效降低电力公司高电价时间段的用电消耗,从而保证了电网的稳定性。最后,还针对云模型内部参数不同的优化效果进行了对比。

his paper proposes an optimal control strategy for domestic electric water heater(EWH） based on cloud model theory,focusing on residential users ＇ huge consumption of electric energy on electric water heaters. The control strategy is established for reducing costs on residential users ＇ EWH in which the real-time temperature in water tank and electricity price issued by power grid are regarded as the former of the cloud generator,and the real-time power value is regarded as the consequent of the cloud generator. At the same time,the peak load of residential users＇ EWH is transferred to other valley load time by regulating the parameters of EWH through cloud model controller. The Simulation results show that the method can effectively reduce power consumption in high-price time,so that stability of power grid is ensured,under the premise of meeting the needs of users ＇ basic water temperature. Finally,this paper compares the optimization effect of different parameters in cloud model controller.