区域配电网内分布式电源和负载联盟交易模式设计和分析

分布式电源和负载可在配电侧形成电能供给和消费的联盟,并参与区域电力市场交易。相比于单独进行交易,这样的联盟通过帮助市场能力较弱的分布式电源和负载参与到配电网市场中,推动配电网中的中小型负载和分布式电源之间的直购电业务的发展,促进配电网侧的电力市场形成;同时利用市场信号引导分布式电源和负载的电能生产和消费过程,使得它们获得更多的经济利益,促进分布式可再生能源的发展。文中给出了区域配电网中联盟交易模式的存在条件,并且基于公用电网的作用和合作博弈理论,建立了相应的交易价格模型。进一步,以集成售电商的收益为优化目标,构建了联盟选择和定价的优化决策模型。仿真算例说明了联盟交易模式的理论可行性,证明了在不同运行场景中所提优化决策模型的有效性。

Coalition Trading Mode Design and Analysis for Distributed Generators and Loads in Regional Distribution Network

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.