含高比例风电的虚拟电厂多类型备用协调优化
Coordinated Optimization of Multi-type Reserve in Virtual Power Plant Accommodated High Shares of Wind Power
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摘要: 虚拟电厂聚合多样化的分布式资源以促进可再生能源发电的消纳,将成为高比例可再生能源情景下电力系统的一类重要结构形态。为了提高虚拟电厂接纳可再生能源发电的能力,该文根据虚拟电厂的组成单元特征构建虚拟电厂源–荷–储多元备用容量体系,提出一种备用风险决策方法。利用条件风险价值(conditional value-at-risk,CVa R)度量风电出力不确定性为虚拟电厂带来的风险损失,基于成本效益分析建立考虑CVa R的多类型分布式资源的发电容量与备用容量协调优化模型。基于算例分析证明所提方法和模型的合理性与有效性。Abstract: As an important class of structure in future power system with the integration of high shares of renewable energy resources, virtual power plant(VPP) integrated diversified distributed energy resources(DER) to promote renewable energy generation. In order to enhance the capability of VPP for wind power accommodation, "Generation-LoadStorage" multi-type reserve capacity system of VPP was established based on the composition characteristics of VPP, and a risk-based reserve decision method was proposed. Considering conditional value-at-risk(CVa R) as a tool to assess the risk loss produced by the uncertainty of wind, the coordinated optimal model of generation and reserve of diversified DERs was built based on a cost-benefit analysis. The rationality and effectiveness of the presented method and model were validated by numerical results.