1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2. State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China
Distributed generators(DG)and loads can form coalitions for energy supply and consumption in the distribution network, as well as participate in the local electricity market. Compared with working alone, such coalition helps DG and load whose market capabilities are weak to participate in the electricity market. Therefore, improving the direct power purchase between themselves encourages the formation of distribution electricity market. In the meantime, such coalition could also guide the production and usage of distributed electricity power with price signals, enhancing the incentives of DG and load in a deregulated electricity market by enabling them to make more profits. The conditions for the existence of such a coalition trading mode are studied. Based on the role of the utility grid and the cooperative game theory, corresponding price models are developed. Moreover, for the aggregator, an optimization decision model is built to maximize its profit, whose outputs are the optimal formulation of the coalition and price of energy traded inside the coalition. Simulation results show the theoretical feasibility of such a coalition trading mode and the effectiveness of the proposed optimization decision model in different scenarios.
|||CHEN Ying, JIANG Xiyuan, YU Zhitong, et al. Coalition Trading Mode Design and Analysis for Distributed Generators and Loads in Regional Distribution Network[J]. Automation of Electric Power Systems,2017,41(14):78-86. DOI:10.7500/AEPS20160605007|