基于典型场景集的虚拟电厂与配电网协同定价策略

虚拟电厂（virtual power plant，VPP）技术能够有效地提升配电网运行灵活性和可再生能源消纳水平，为描述电力市场环境下配电系统中多种资源的不确定性，采用拉丁超立方抽样和多尺度NJW谱聚类算法获取了包含电价、负荷、可再生能源出力等多种随机因素的典型场景集；根据典型场景集，考虑配电网与虚拟电厂的网络结构、潮流安全、机组出力等约束条件，建立了基于虚拟电厂与配电网各自利益最大化的优化模型，并提出一种基于虚拟电厂与配电网交替优化的协同定价策略。算例仿真结果表明，所提方法充分地考虑了多种随机因素，能够合理地制定虚拟电厂与配电网的交易电价，维持系统功率平衡。

Collaborative Pricing Strategy of Virtual Power Plant and Distribution Network Considering Typical Scenes

Virtual power plant （VPP） technology can effectively improve the flexibility of distribution network and promote the penetration of renewable energy sources. To represent the uncertainties of multiple resources in distribution system under the power market environment， typical scenes including multiple random factors are proposed， such as electricity prices， loads and renewable energy generations， which are obtained by using Latin hypercube sampling and multi-scale spectral clustering algorithm. According to the typical scenario set， considering the constraints of network structure， power flow security and unit output of distribution network and VPP， optimization models for maximizing the respective benefits of VPP and distribution network are established， and a cooperative pricing strategy based on alternating optimization of VPP and distribution network is proposed. Simulation analyses indicate that the proposed strategy can formulate the transaction price between the VPP and the distribution network reasonably and maintain the system power balance.