Abstract: Wind power and photovoltaic output are uncertain. In view of the mismatched usable power and system natural load, an integrated dispatching system is put forward, which integrates the generation-side resources such as wind power, PV, thermal power and the demand-side resources such as electric vehicles and adjustable load. On the one hand, based on the fuzzy chance constrained programming model, the non-deterministic problems are equivalently rewritten for problem modeling and solving. On the other hand, considering the cost of electricity generation and consumption in the optimization objectives, the generation-side and demand-side interaction mechanism was applied in the constraints, so as to improve the supply-and-demand relationship between the renewable energy's output and load at a lower cost. Influences of the participation degrees of electric vehicles and demand response on the dispatching results were tested by digital simulation. The results show that the proposed method can not only match the load and output, but also effectively raise the economic efficiency.

Key words: Integrated scheduling, demand response, electric vehicle, renewable energy, fuzzy chance constrained programming

摘要： 风电、光伏出力具有不确定性，本文针对由此导致的可用功率与系统自然负荷失配的问题，综合风电、光伏、火电等发电侧资源和电动汽车、可调节负荷等需求侧资源，提出了一种发用电互动的一体化调度模型。一方面，基于模糊机会约束规划，将风电和光伏出力的不确定性进行清晰等价。另一方面，在优化目标中综合考虑发电和用电的成本，在约束条件中嵌入发电侧与用电侧互动机制，从而以较低的成本改善可再生能源出力与负荷的供需关系。用数字仿真测试了电动汽车和需求响应参与程度对调度结果的影响，结果说明提出的方法既能促进负荷与风电、光伏出力的匹配，也能有效提升发用电经济性。

关键词: 一体化调度, 需求响应, 电动汽车, 可再生能源, 模糊机会约束规划