一种改进的智能电网能耗调度算法

为了提高电网的运行效率,提出一种新的实时能耗调度算法,通过考虑负载不确定性来实现每个用户的电费最小化.我们将负载调度描述为一个优化问题.为了降低计算复杂度,提出一种近似动态规划算法,以解决电器运行的调度问题.在研究问题时,考虑了必须运行和可控运行在内的不同电器.与大部分当前需求侧管理算法假设完全知晓用户用电需求不同,算法只需知道将来部分需求的估计即可.仿真结果表明,能量调度算法既降低了用户用电支出,又提高了负载需求的峰均比,为用户和电力公司带来收益.

An Improved Smart Grid Energy Scheduling Algorithm

To enable more efficient grid operation,we propose a novel real-time energy consumption scheduling algorithm which takes into account load uncertainty to minimize the energy payment for each user in this paper.We formulate the problem of load scheduling as an optimization problem.To reduce the computational complexity,we devise an approximate dynamic programming approach to schedule the operation of appliances.In our problem formulation,we consider different sets of appliances including must-run and controllable.Unlike most of the existing demand side management algorithms that assume perfect knowledge of users＇ energy needs,our design only requires knowledge of some estimates of the future demand.Simulation results confirm that the proposed energy scheduling algorithm can benefit both the users by reducing their energy expenses and the utility companies by improving the peak-to-average ratio in load demand.