考虑需求响应和边缘计算的配电网分布式优化调度

Distributed Optimal Scheduling of Distribution Network Considering Demand Response and Edge Computing

随着分布式电源、柔性负荷地大量接入,传统配电网中将存在电网公司、分布式电源所有者、柔性负荷等多个利益主体。针对配电网多利益主体协同优化问题,提出了考虑需求响应和边缘计算的配电网分布式优化调度方法。首先,提出虚拟区域分解方法对配电网不同利益主体进行划分,构建基于边缘计算的配电网分区分层优化框架。其次,分别建立配电网、分布式电源和柔性负荷的优化模型,提出以配电网能量管理系统为云计算节点、以智能配变终端为边缘计算节点的配电网分布式优化调度方法。然后,分别构建分布式电源、柔性负荷优化问题的KKT条件对原分层优化模型进行转化。最后,基于修改的IEEE33节点系统对所提分布式优化调度方法进行验证。结果表明,与集中式优化方法相比,所提分布式优化调度方法可以较好地实现配电网中不同主体之间的协同优化。

With large-scale access of distributed generation and flexible loads,there emerge multiple stakeholders in traditional distribution network,such as state grid companies,distributed generation owners,and flexible loads.To collaboratively optimize distribution network among multiple stakeholders,this paper proposed a distributed optimal scheduling approach of distribution network considering demand response and edge computing.Firstly,we came up with a virtual region decomposition method to divide stakeholders of the distribution network,thereof constructing a framework of hierarchical and zonal optimization based on edge computing.Secondly,we established the optimal models of distribution network,distributed generation and flexible load.Furthermore,we proposed a distributed optimal scheduling approach of distribution network by taking distribution network energy management system as cloud computing node and regarding intelligent distribution terminal as edge computing node.Then,we adopted the KKT conditions to transform optimal models of distributed generation and flexible load optimization.Finally,we verified the proposed distributed optimization scheduling approach based on the modified IEEE33-node system.The results have showed that the proposed distributed optimal scheduling method exceeds in the collaborative optimization among different entities in the distribution network compared with the centralized optimization method.