基于MOEA的智能电网需求侧管理分时电价优化方案

本文为降低分时电价方案中电力客户的用电成本并减少用电设备的平均延时,提出一种基于多目标进化算法的智能电网需求侧管理分时电价优化方案。首先简要介绍了分时电价方案及其优势;其次重点阐述了多目标进化算法评估用电成本和设备延时的具体实现方法,并给出了目标函数;最后,以Matlab/Simulink软件为平台对所提出的方法进行建模与仿真。结果表明,优化后的方案能显著降低用电成本并使用电设备正常运行的等待时间最小化。因此,对用户需求侧管理具有一定的参考意义。

Optimization Solution of Time of Use for Demand Side Management based on MOEA Technique in Smart Grid

To cut down the power consumption costs of power customers and reduce the average delay time of electric equipment in time of use pricing scheme, a novel prioritization scheme of time of use based on multi-objective evolutionary algorithm for demand side management in smart grid is proposed. To begin with the time of use scheme and its advantages. And then, the implement method of evaluating the electricity cost and the equipment delay based on multi-objective evolutionary algorithm, and objective function is given. Finally, modeling and simulation are carried out by taking the software of Matlab/Simulink as platform. Simulation results show that, power consumption costs and waiting time of electric equipment are decreased significantly by the proposed method. So the proposed method has some reference meaning for demand side management.