计及多时间尺度需求响应资源的微电网能量优化调度策略

随着电力体制改革的深入，用户侧微电网逐渐形成多方投资+集中管控的运营模式，研究计及运营商利益的微电网能量优化具有重要的现实意义。文章提出一种以运营商购售电收益最大化和需求响应补偿成本最小化为目标的微电网能量优化调度策略。该策略计及需求响应多时间尺度特性，将集群空调和集群电动汽车2种需求响应资源纳入日前-日内-实时3种时间尺度调度计划中，并根据各阶段可再生能源预测信息以及电价信号，逐级优化储能出力和需求响应供应量，实现运营商的全局利益最大化。负荷聚集商基于集群空调和集群电动汽车的控制模型预测各时段可控负荷容量并实时响应调度指令。最后，通过算例验证本文所提调度策略的有效性。

Optimal Energy Dispatching Strategy for Microgrid Considering Multi-Scale Demand Response Resources

With the deepening of the power system reform, the operation mode of multi investment and centralized management has been formed in the user-side microgrid. It is of great practical significance to study the energy optimization of microgrid considering the interests of operators. In this paper, the optimal energy dispatching strategy for microgrid is proposed, which aims at maximizing the income of the operators purchasing and selling electricity and minimizing the demand response compensation cost. Considering the multi-time scale characteristics of demand response, this strategy brings two demand response resources, i.e. aggregated air conditioning and electric vehicles, into three different time scales dispatching plan （namely day-ahead, in-day, and real-time dispatch）, and optimizes the energy storage system output and demand response supply step by step to realize the global benefit maximization of the operators. Load aggregator predicts controllable capacity of loadin each period and takes response dispatch in real time, on the basis of the control model of aggregated air conditioning and electric vehicles. Finally, the test results have verified the effectiveness of the proposed method.