摘要
本文提出了一个家庭需求响应计划(DR)。DR计划通过安排设备的运行时间和能耗水平在家庭能源管理系统中发挥关键作用,从而节省能源成本。DR程序提出了具有挑战性的优化问题,因为它们的公式是混合整数非线性问题(MINLP),这些问题通常很难解决。为了克服这个困难,我们使用了一种改进的粒子群优化算法(PSO),它能够实现近乎最优的解决方案。
In this paper,we present a household demand-response program(DR).DR programsplay a key role in home energy-management systemsby scheduling the operating time and levels of energy consumption across appliances so as to save energy costs.DR programspresent a challenging optimization problem because their formulationsare mixed integer nonlinear problems(MINLP),which are,in general,difficult to solve.In order to overcome this difficulty,we have used a modified particle swarm optimization algorithm(PSO)that is able to achieve a nearoptimal solution.
出处
《日用电器》
2021年第2期84-88,共5页
ELECTRICAL APPLIANCES
