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考虑负荷聚合商调节潜力的需求响应双层优化模型

Bi-level Optimization Model of Demand Response Considering Regulation Potential of Load Aggregator

  • 摘要: 需求响应参与电力系统调节是发电侧调节的有效补充。为了充分挖掘需求侧资源调节潜力,考虑电网、配电系统运营商(distribution system operator,DSO)、负荷聚合商(load aggregator,LA)之间的互动关系及交易模式,设计了配电系统双层优化模型,明确各主体在需求响应中的作用及交易对象。上层考虑DSO内部源荷储主体及LA的协调互动,以DSO利润最大化为目标进行配电系统优化调度;下层以聚合变频空调和电动汽车的LA利润最大化为目标,基于变频空调和电动汽车实际运行特性构建其需求响应模型,充分挖掘其调节潜力并制定负荷调节策略。在模型求解方面,通过Karush-Kuhn-Tucker条件和大M法将构建的双层优化问题转化为易求解的线性规划问题。算例结果表明:所提双层优化模型可以充分挖掘LA的调节潜力,减少向主网购电量,同时提高DSO和LA的收益。

     

    Abstract: The participation of demand response in power system regulation is an effective supplement to generation side regulation. In order to fully tap the potential of demand side resource regulation, a bi-level optimization model of distribution system is designed considering the interaction and transaction mode among the power grid, distribution system operator (DSO) and load aggregator (LA), and the role of each player and the transaction object in the demand response are clarified. The upper level considers the coordination and interaction between the player of source, load and storage inside DSO and the LA, and optimizes the dispatching of the distribution system with the goal of maximizing the profit of DSO. The lower level aims to maximize the LA’s profit of aggregating inverter air conditioners and electric vehicles. Based on the actual operating characteristics of inverter air conditioners and electric vehicles, a demand response model is constructed to fully tap its regulation potential and formulate load regulation strategies. For model solving, the bi-level optimization problem is transformed into an easier linear programming problem through the Karush-Kuhn-Tucker condition and big M method. The case study results show that the proposed bi-level model can fully tap the regulation potential of LA, reduce the electricity purchase from the main network, and improve the income of DSO and LA.

     

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