Title: Distributionally Fair Peer-to-Peer Electricity Trading Show Chinese title

Title: 分布公平的点对点电力交易

Abstract: Peer-to-peer energy trading platforms enable direct electricity exchanges between peers who belong to the same energy community. In a semi-decentralized system, a community manager adheres to grid restrictions while optimizing social welfare. However, with no further supervision, some peers can be discriminated against from participating in the electricity trades. To solve this issue, this paper proposes an optimization-based mechanism to enable distributionally fair peer-to-peer electricity trading. For the implementation of our mechanism, peers are grouped by energy poverty level. The proposed model aims to redistribute the electricity trades to minimize the maximum Wasserstein distance among the transaction distributions linked to the groups while limiting the sacrifice level with a predefined parameter. We demonstrate the effectiveness of our proposal using the IEEE 33-bus distribution grid, simulating an energy community with 1600 peers. Results indicate that up to 70.1% of unfairness can be eliminated by using our proposed model, even achieving a full elimination when including a non-profit community photovoltaic plant. Show Chinese abstract

Abstract: 基于同伴的能源交易平台允许属于同一能源社区的同伴之间进行直接电力交换。 在半去中心化系统中，社区管理员遵守电网限制的同时优化社会福利。 然而，在没有进一步监督的情况下，一些同伴可能被排除在电力交易之外。 为了解决这个问题，本文提出了一种基于优化的机制，以实现分布公平的同伴间电力交易。 为了实施我们的机制，同伴按照能源贫困程度进行分组。 所提出的模型旨在重新分配电力交易，以最小化与各组相关的交易分布之间的最大Wasserstein距离，同时通过预定义参数限制牺牲水平。 我们使用IEEE 33节点配电网络验证了我们提议的有效性，模拟了一个拥有1600个同伴的能源社区。 结果表明，通过使用我们提出的模型，最多可以消除70.1%的不公平现象，甚至在包括一个非营利社区光伏发电厂时可以完全消除不公平现象。