微电网中面向用户的自适应能量调度策略

An Adaptive Energy Scheduling Strategy for Electricity Consumers in Micro Grid

基于微电网中分布式可再生能源和双向能量交易,提出一种自适应能量调度策略.调度中心收集微电网中所有用户的负载信息,并根据实时的电价信息,集中调度用户的负载用电.该调度策略采用自适应动态规划方法,通过在线网络训练优化能量调度策略.仿真结果表明,该方法能够对整个调度过程进行在线学习,从而最小化用户的总电能费用.

Based on the distributed renewable energy resources and the bidirectional energy transaction in micro grid,an adaptive energy scheduling strategy is proposed. The scheduling center collects the load information from all uses in micro grid and centrally assigns the energy consumption of user loads according to the real-time electricity price information. The proposed scheduling strategy employs the adaptive dynamic programming and optimizes scheduling policy by processing online network training. Simulation results show that the proposed scheduling strategy is able to minimize the user electricity cost by learning from the scheduling process.