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：随着分布式能源的快速发展，越来越多的住宅和商业用户已从纯电力消费者转变为既能消费又能生产能量的产消者。为有效管理这些新兴产消者，点对点电力市场得到了广泛探索与研究。在此类电力市场中，每个产消者直接与其他产消者进行能量交易，这对市场的可扩展性构成了严峻挑战。因此，本文针对含大量产消者的电力市场，提出了一种具有良好可扩展性的双边能量交易机制。首先，构建了考虑产品差异化和网络约束的、最大化社会福利的多双边经济调度问题模型。随后，设计了一种能量交易机制，从以下两方面提升可扩展性：（i）一种交换信息更少、收敛速度更快的加速分布式清算算法；（ii）一种新颖的选择策略，以降低每个产消者的计算与通信量。最后，给出了所提加速算法的收敛性证明，并通过蒙特卡洛仿真实验对所提选择策略进行了验证。