基于实时电价和遗传算法的智能用电管理系统用电优化策略

Optimization Strategy of Electricity Consumption of Smart Electricity Consumption Management System Based on Real-time Electricity Price and Genetic Algorithm

为使用电家庭积极地参与到电网需求响应,从而进一步实现家庭智能用电管理系统的用电优化,本文提出基于实时电价和遗传算法的家庭智能用电管理系统用电优化策略。结合实时电价和遗传算法,在MATLAB平台下进行了仿真验证,仿真结果表明本文提出的家庭智能用电管理系统用电优化策略能够实现在不影响家庭用户使用前提下达到用电费用最低的目标。

In order to actively participate in the grid demand response and further realize the optimization of home intelligent electricity management system,this paper proposes a strategy of home intelligent electricity management system based on real-time electricity price and genetic algorithm.Combined with real-time electricity price and genetic algorithm,the simulation verification is carried out on MATLAB platform.The simulation results show that the optimal strategy of home intelligent electricity management system proposed in this paper can achieve the goal of the lowest electricity consumption without affecting the use of home users.