Abstract
With large-scale penetrations of distributed generation (DG) and flexible loads, there will be multiple entities in traditional distribution network, such as distribution network operator (DNO), DG owner, and prosumers. Aiming at the collaborative optimization problem of distribution network among multiple entities, a distributed optimal scheduling approach of distribution network considering demand response and edge computing is proposed in this paper. Firstly, the virtual region decomposition method is proposed to divide the original distribution network into multiple regions according to different entities, and the bi-level optimization framework based on edge computing is constructed. Secondly, the optimal models of DNO, DG owner, and prosumers are established respectively, and the distributed optimal scheduling approach of distribution network with collaboration of control center and edge nodes is proposed. Then, the KKT conditions are adopted to realize the transformation of optimal models of DG owner and prosumers. Finally, the proposed distributed optimization scheduling approach is verified based on the modified IEEE33-node system. The results show that the proposed distributed optimal scheduling method can achieve better collaborative optimization among different entities in distribution network compared with the centralized optimization method.
Highlights
In recent years, energy shortage and environmental pollution issues have caused widespread concerns
Advanced two-way communication network and information technologies are being integrated to provide imperative facilities for enabling demand response (DR) programs, and the developments of customer-owned Distributed generation (DG) and DR programs are transforming the traditional electricity users to the so-called prosumers [1], which causes the boundaries of power source and load in the traditional distribution network more and more blurred, and the traditional distribution network is moving towards an active distribution network with flexible operation mode and interaction among power source, network, and demand [2]
The solution process of the proposed optimal scheduling problem of distribution network with edge computing in this paper mainly includes two parts: 1) The solution of distribution network operator (DNO) optimization problem, which executed in the control center of distribution network; 2) The solution of DG owner and prosumers optimization problems(Formulate KKT conditions in this paper), which executed in edge nodes
Summary
Energy shortage and environmental pollution issues have caused widespread concerns. In the distribution network containing DG and FL, there usually exist various entities in active distribution network, such as distribution network operator (DNO), DG owner, prosumers, and etc It is a difficult task for traditional centralized optimization scheduling methods to solve this collaborative optimization problem with multiple entities. The last method is to model the active distribution network as a distributed multi-agent system based on consensus theory, which realizes fully distributed optimization through information interaction among adjacent agents without central coordinator. 2) There exists frequent information exchange with various entities, which puts forward higher requirements on the aforementioned distributed optimization methods, e.g., the network communication bandwidth, time delay of data transmission and processing, data privacy, etc In this context, edge computing has received extensive attention from scholars at home and abroad.
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