College of Electrical Engineering and Automation, Shandong University of Science and Technology

以多类型分布式能源(DE)聚合成的单个虚拟电厂为基础,将工业园区划分为含多个虚拟电厂(VPP)的集群形式,提出了考虑多时间尺度的园区型VPP集群两阶段优化决策模型。在阶段一单日调度计划中,将集群分成上下双层架构,启用集群运营商作为代表与外部电网交易,实现集群效益最大化。下层在对上层日前策略进行修正的同时,研究集群内VPP的运行模式,自主制定内部电能交易价格,使可调度负荷修正误差惩罚成本和电量交易调整成本最小。在阶段二中,引入缓冲边界约束,使实时校正可以兼顾与阶段一优化的不平衡成本最小的同时保证及时的负荷响应。

With a single virtual power plant aggregated by multiple types of distributed energy (DE) as the core unit, the industrial region is divided into groups with multiple virtual power plants (VPP), and a two-stage optimization decision making model for region-type VPP clusters considering multi-time scale was proposed. In the single-day scheduling plan of the first stage, the group was divided into upper and lower layers, and trading with external power grids was conducted by traders as representatives, thus maximizing the benefits of the group. While the lower layer was revising the day-ahead strategy of the upper layer, the operation mode of VPP in the cluster is studied and the transaction price of electric energy within the group was set independently so as to minimize the penalty cost of schedulable load correction error and the adjustment cost of electricity transaction. In the second stage, a buffer boundary constraint was introduced so that real-time correction can minimize the unbalanced cost and ensure timely load response at the same time.

国家自然科学基金项目(52107111);青岛西海岸新区2020年科技项目(源头创新专项)(2020-92)