论文标题
P2P Energy Trading的一种完全分散的无调的不偏否投影方法
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading
论文作者
论文摘要
基于代理的解决方案很好地解决了未来分布式电网和最终用途能源交换的隐私问题和计算可伸缩性需求。分散的决策方法是使生产商之间的点对点能源交易的关键。但是，现有的分散决策算法的性能在很大程度上取决于算法设计和高参数调谐，从而限制了适用性。本文旨在通过提出一种不依赖参数调整或中央协调来实现对等能量交易问题的最佳解决方案来解决该差距。所提出的算法不需要参数重新调整，并且一旦调整，它会收敛到广泛的P2P设置。此外，每个制造商只需要与相邻的生产者共享有限的信息（即更新的耦合变量）。 IEEE 13总线测试系统用于展示我们提出的方法的鲁棒性和隐私优势。
Agent-based solutions lend themselves well to address privacy concerns and the computational scalability needs of future distributed electric grids and end-use energy exchanges. Decentralized decision-making methods are the key to enabling peer-to-peer energy trading between electricity prosumers. However, the performance of existing decentralized decision-making algorithms highly depends on the algorithmic design and hyperparameter tunings, limiting applicability. This paper aims to address this gap by proposing a decentralized inexact projection method that does not rely on parameter tuning or central coordination to achieve the optimal solution for Peer-to-Peer (P2P) energy trading problems. The proposed algorithm does not require parameter readjustments, and once tuned, it converges for a wide range of P2P setups. Moreover, each prosumer only needs to share limited information (i.e., updated coupled variable) with neighboring prosumers. The IEEE 13 bus test system is used to showcase our proposed method's robustness and privacy advantages.
