论文标题
智能电网中的点对点交易能源系统中的分布式动态定价
Distributed Dynamic Pricing in Peer-to-Peer Transactive Energy Systems in Smart Grid
论文作者
论文摘要
由物联网（IoT）设备授权的具有分布式发电和存储能力的积极主动消费者的快速增长正在将现代电力市场转变为独立，灵活和分布式结构。特别是，最近的趋势是点对点（P2P）交易能源系统，其中传统消费者成为生产者（生产者+消费者），可以通过与邻居共享而无需在交易中进行任何常规的中介干预，从而最大程度地利用了他们的能源利用。但是，在这样的系统中，不可避免的是竞争性动态能源定价方案以做出最佳决策。当生产者对生产商的系统信息（即负载配置文件，发电等）的访问有限时，这是非常具有挑战性的。本文使用快速交替的乘数（F-ADMM）算法提出了智能网格中P2P交流网格中P2P交易能量系统的分布式动态定价策略。结果表明，该算法收敛非常快，并促进了简单的实现。此外，提出了P2P交易能量系统的封闭式解决方案，该解决方案加速了总体计算时间。
The rapid growth of proactive consumers with distributed power generation and storage capacity, empowered by Internet of Things (IoT) devices, is transforming modern power markets into an independent, flexible, and distributed structure. In particular, the recent trend is peer-to-peer (P2P) transactive energy systems, wherein the traditional consumers became prosumers (producer+consumer) and can maximize their energy utilization by sharing with neighbors without any conventional intermediary intervention in the transactions. However, the competitive dynamic energy pricing scheme is inevitable in such systems to make the optimal decision. It is very challenging when the prosumers have limited access to the fellow prosumer's system information (i.e., load profile, generation, and so on). This paper presents a privacy-preserving distributed dynamic pricing strategy for P2P transactive energy systems in the smart grid using Fast Alternating Direction Method of Multipliers (F-ADMM) algorithm. The result shows that the algorithm converges very fast and facilitates easy implementation. Moreover, a closed-form solution for a P2P transactive energy system was presented, which accelerate the overall computation time.
