Peer-to-peer energy sharing with dynamic network structures. (1st June 2021)

• Record Type: Journal Article
• Authors: Chen, Liudong; Liu, Nian; Li, Chenchen; Zhang, Silu; Yan, Xiaohe
• Is Part Of: Applied energy. Volume 291(2021)
• Publication Date: 2021-06-01
• Subjects: Prosumers -- Peer-to-peer energy sharing -- Dynamic network structures -- Optimization -- Comprehensive energy utilization; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.116831
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A joint framework with P2P energy sharing and dynamic network structure is proposed. A dynamic network structure model affected by the P2P energy sharing is provided. A solution algorithm with matching processes and branch-exchange is designed. The effectiveness of the proposed framework is demonstrated. Abstract: The integration of distributed energy resources facilitates peer-to-peer (P2P) energy sharing as an effective way to coordinate the energy scheduling. Previous research has focused on economic P2P energy sharing of user side without considering the possible response strategies of network sides. This paper proposes a P2P energy sharing framework that takes into consideration the dynamic network structure. A P2P energy sharing model aimed at increasing the energy local consumption and reducing each prosumers' power losses arisen from P2P energy sharing is built for the P2P energy schedule. In the physical network, a dynamic network structure model is designed to incorporate the network operator into the energy sharing process, and obtain the better network structure while reducing the power losses of whole network. These two proposed models are jointly optimized by the upper and lower layer to get the optimal P2P energy sharing schedule, network operations conditions and comprehensive energy utilization. The solution algorithm for the joint optimization is composed of a designed matching mechanism and branch-exchange method and realized by the iteration process. Finally, numerical analysis reveals the effectiveness of the proposed framework in terms of prosumers' strategies, network structures, comprehensive energy utilization, and practical feasibility.