论文标题
通过汇总分布式能源来评估虚拟发电厂的随机灵活性评估
Stochastic Flexibility Evaluation for Virtual Power Plant by Aggregating Distributed Energy Resources
论文作者
论文摘要
为了管理分销网络中的大量灵活的分布式能源（DER），在行业中引入了虚拟发电厂（VPP）。 VPP可以以集群方式最佳地分配这些资源，并为整个电源系统操作提供灵活性。大多数现有的作品都制定了汇总DER作为确定性优化模型的等效功率灵活性，而无需考虑其不确定性。在本文中，我们介绍了随机功率灵活性范围（PFR），以描述VPP的功率灵活性，该功率灵活性是偶然的约束优化模型。在此模型中，合并了操作约束和DERS输出的随机性，并提出了组合模型和数据驱动的解决方案以获得随机PFR和VPP的成本函数。最后，进行数值测试以验证所提出方法的正确性和效率。
To manage huge amount of flexible distributed energy resources (DERs) in the distribution networks, the virtual power plant (VPP) is introduced in industry. The VPP can optimally dispatch these resources in a cluster way and provide flexibility for the power system operation as a whole. Most existing works formulate the equivalent power flexibility of the aggregating DERs as deterministic optimization models without considering their uncertainties. In this paper, we introduce the stochastic power flexibility range (PFR) to describe the power flexibility of VPP, which is formulated as a chance constrained optimization model. In this model, both operational constraints and the randomness of DERs' output are incorporated, and a combined model and data-driven solution is proposed to obtain the stochastic PFR and cost function of VPP. Finally, numerical tests are conducted to verify the correctness and efficiency of the proposed method.
