Optimal design and management of distributed energy network considering both efficiency and fairness. (15th December 2020)

• Record Type: Journal Article
• Authors: Ren, Hongbo; Wu, Qiong; Li, Qifen; Yang, Yongwen
• Is Part Of: Energy. Volume 213(2020)
• Publication Date: 2020-12-15
• Subjects: Distributed energy network -- Efficiency -- Fairness -- Cooperative game theory -- Profit allocation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2020.118813
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: In this paper, based on the principle of complementation, interaction and mutual benefit of distributed energy prosumers, an integrated analytical framework considering both overall efficiency and individual fairness is proposed for the optimal decision-making of the distributed energy network integrating both electric and thermal interchanges. Firstly, from the viewpoint of overall efficiency, a collaborative optimization model is developed for the determination of system configuration, operating strategy, as well as layout of energy interchanging network. Following which, from the viewpoint of fairness of prosumers, a profit allocation model is proposed based on the cooperative game theory. By employing the Core and Shapely Value methods, the corresponding profit allocation measure can be determined while considering both aspects of stability and fairness. According to the simulation results of a numerical study, the energy interchange among prosumers may result in not only economic, but also energy and environmental benefits compared with the situation without energy interaction. In addition, by employing the Shapely value method, a sole profit allocation strategy can be determined based on the contribution of each prosumer on the whole network, which may achieve a win-win result of both individual and overall interests. Highlights: The analytical framework considers both aspects of efficiency of fairness. A MILP model is developed for collaborative optimization of a distributed energy network. A profit allocation model is developed based on the cooperative game theory. Stable and fair profit allocation scheme is deduced by using the core and Shapley value methods.