With the rapid development of distributed energy resources, increasing number of residential and commercial users have been switched from pure electricity consumers to prosumers that can both consume and produce energy. To properly manage these emerging prosumers, a peer-to-peer electricity market has been explored and extensively studied. In such an electricity market, each prosumer trades energy directly with other prosumers, posing a serious challenge to the scalability of the market. Therefore, a bilateral energy trading mechanism with good scalability is proposed for electricity markets with numerous prosumers in this paper. First, the multi-bilateral economic dispatch problem that maximizes the social welfare is formulated, taking into account product differentiation and network constraints. Then, an energy trading mechanism is devised to improve the scalability from two aspects: (i) an accelerated distributed clearing algorithm with less exchanged information and faster convergence rate. (ii) a novel selection strategy to reduce the amount of computation and communication per prosumer. Finally, the convergence proof of the proposed accelerated algorithm is given, and the proposed selection strategy is illustrated through a Monte Carlo simulation experiment.
翻译:随着分散能源资源的迅速发展,越来越多的住宅和商业用户从纯电力消费者转向消费和生产能源的消费和生产造价商。为了妥善管理这些新兴的造价商,对同行电市场进行了探索和广泛研究。在这样一个电力市场中,每个造价商直接与其他造价商进行能源交易,对市场的可缩放性构成严重挑战。因此,为本文中众多的授价商的电力市场提出了一个具有良好可缩放性的双边能源贸易机制。首先,考虑到产品差异和网络限制,制定了使社会福利最大化的多双边经济发送问题。然后,设计了一个能源交易机制,从两个方面提高可缩放性:(一) 加速分配的清算算法,以较少的信息交换和更快的汇合率。 (二) 新的选择战略,以降低每个造价人的计算和通信量。最后,提供了拟议的加速算法的趋同证据,并通过蒙特卡洛模拟试验来说明拟议的选择战略。</s>