需求侧管理下智能家庭用电多目标优化控制

针对家庭内附加型负载进行需求侧管理，缓解高峰时刻电网压力，提出一种智能电网环境的家庭用电控制系统。设计了智能控制器，可以获取用户家庭负荷信息并为用户提供分时电价计量，同时便于供电侧直接进行需求侧控制。提出了多目标蜻蜓算法，针对降低负载功率和减少需求响应延时时间两个目标进行求解，其迭代速度快，满足即时响应的需求。500个家庭的实验结果显示，家庭用电控制系统合理，降低了用户用电费用；算法计算速度快，响应时间延时少，有效缓解了高峰时刻的电网负荷。

Multiobjective optimization control of intelligent household electricity with demand management

In this paper, we propose a home electricity control system with a smart grid for managing the demand of home appliances and to ease the peak-time grid pressure. We designed an intelligent controller that can obtain user power information and provide users with time-sharing electricity metering, while also being convenient for suppliers to apply the demand management system. To reduce the load power and demand-response delay time, we propose a multi-objective optimization technique. Its convergence rate is rapid and it can satisfy the immediate response requirement. The results for 500 families taking part in the experiment show that the proposed household electricity control system is reasonable, reduces user electricity costs, and reduces the response time delay due to its fast calculation speed, thereby effectively alleviating the peak time of the power grid.