Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection

Autor:	Feng, Cheng, Zheng, Kedi, Shan, Lanqing, Alers, Hani, Stergioulas, Lampros, Guo, Hongye, Chen, Qixin
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Systems and Control Computer Science - Computer Science and Game Theory Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing number of distributed energy resources in distribution networks. However, when dealing with large-scale consumers, there are several challenges that must be addressed. One of these challenges is limited communication capabilities. Additionally, prosumers may have specific preferences when it comes to trading. Both can result in serious asynchrony in peer-to-peer trading, potentially impacting the effectiveness of negotiations and hindering convergence before the market closes. This paper introduces a connection-aware P2P trading algorithm designed for extensive prosumer trading. The algorithm facilitates asynchronous trading while respecting prosumer's autonomy in trading peer selection, an often overlooked aspect in traditional models. In addition, to optimize the use of limited connection opportunities, a smart trading peer connection selection strategy is developed to guide consumers to communicate strategically to accelerate convergence. A theoretical convergence guarantee is provided for the connection-aware P2P trading algorithm, which further details how smart selection strategies enhance convergence efficiency. Numerical studies are carried out to validate the effectiveness of the connection-aware algorithm and the performance of smart selection strategies in reducing the overall convergence time. Comment: Submitted to IEEE PES Transactions
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.11769 Zobrazit plný text záznamu View this record from Arxiv