在分布式发电渗透率逐渐上升的背景下，点对点（peer-to-peer，P2P）交易是提高能源利用率的有效途径之一；然而，交易过程中，签约用户的违约行为及电量传输损耗可能导致交易效率降低和成本增加。基于此，提出一种基于分布式信誉和距离驱动的迭代拍卖机制，旨在促进信誉良好用户和电力需求相近的对等方之间的能源交易。结合历史交易表现和用户之间的用电距离，构建了信誉-距离指数，并将其引入拍卖匹配过程中；接着，采用基于博弈论的自适应算法对迭代拍卖进行建模，以实现纳什均衡。案例研究表明，所提出的分布式能源交易机制能够有效降低网络损耗和调峰负荷，保障电力可靠性，提升经济效率和社会福利。具体而言，与不考虑信誉和距离的传统模型相比，所提出的机制能减少54%的网络损耗，提升7.95%良好信誉用户的市场份额，提高10%的经济效率，并增加13.58%的社会福利。

In the context of the increasing penetration of distributed generation， peer-to-peer （P2P） trading is one of the effective ways to improve energy utilization. However， during the trading process， improper behavior of contracted users and power losses in network transmission can lead to transaction failures and higher transmission costs. Accordingly， this paper proposes a distributed reputation- and distance-driven iterative auction mechanism aimed at facilitating energy trading between users with good reputations and those with similar power demands. By combining historical trading performance and the power distance between users， a reputation-distance index is constructed and integrated into the auction matching process. Subsequently， a game-theory-based adaptive algorithm is employed to model the iterative auction and achieve Nash equilibrium. Case studies demonstrate that the proposed decentralized mechanism effectively reduces network losses and peak loads， enhances power reliability， and improves economic efficiency and social welfare. Specifically， compared to traditional models that do not consider reputation or distance， the proposed mechanism reduces network losses by 54%， increases the market share of high-reputation users by 7.95%， improves economic efficiency by 10%， and boosts social welfare by 13.58%.