考虑日前偏差与电网需求的虚拟电厂云边协同实时调控方法
摘要：分布式资源的不确定性，使得虚拟电厂(virtual power plant，VPP)日前制定的调度计划在日内实时运行阶段会产生功率偏差，对VPP及系统的运行性能造成影响。针对上述问题，提出考虑日前偏差与电网需求的VPP云边协同实时调控方法。首先，根据配电网结构的特点，构建VPP云边协同调控架构；提出考虑实时市场需求的VPP实时优化调控策略；其次，为提高VPP实时阶段资源调控速度，提出边缘侧相协同一致性调控策略，对VPP台区调控功率进行分布式优化计算。最后，通过算例分析验证所提策略的合理性与有效性。
Abstract:In allusion to the problem that uncertainty of distributed resources makes the day-ahead dispatching plan for virtual power plant (VPP) generates power deviation in the real-time, which affects the performance of VPP and system, a VPP cloud edge collaborative real-time regulation method that takes into account daily bias and power grid demand was proposed. Firstly, based on the characteristics of the distribution network structure, cloud-edge collaborative optimal schedule architecture of VPP was constructed. And the real-time optimal schedule strategy of VPP considering real-time market demand was proposed. Secondly, to improve the speed of resource regulation of VPP in real-time phase, an edge-side coordinated consistency regulation strategy was proposed to calculate the distributed optimization for regulation power in VPP station area. Finally, an example was given to prove the rationality and effectiveness of the proposed strategy.
标题：考虑日前偏差与电网需求的虚拟电厂云边协同实时调控方法
英文标题：Cloud-edge Collaborative Real-time Optimal Schedule Method of Virtual Power Plant Considering Day-ahead Deviation and Grid Demand
