| 引用本文: | 高纪阳,周 玮,齐 缘,等.配电网本地市场端对端交易阻塞管理及过网费分摊协同调控策略[J].电力系统保护与控制,2026,54(08):13-24. |
| GAO Jiyang,ZHOU Wei,QI Yuan,et al.Coordinated regulation strategy for congestion management and network tariff allocation in peer-to-peer trading of local distribution network markets[J].Power System Protection and Control,2026,54(08):13-24 |
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| 摘要: |
| 为充分挖掘配电侧灵活调节潜力，通过分布式资源安全公平交易以促进新能源就近就地消纳，基于连续双向拍卖 (continuous double auction, CDA) 机制，提出多产消者参与端对端 (peer-to-peer, P2P) 能量交易的阻塞管理及过网费分摊协同调控策略。针对分布式交易引起的线路潮流过载问题，兼顾线路投资回收成本，构建基于节点边际电价的阻塞管理模型。为量化交易过程中产生的过网费用，构建考虑基础使用费以及网络拓扑附加费的过网费计算模型，并依据阻塞管理后的交易结果核算过网费，动态更新产消者交易决策。通过优化后的 11 节点配电网仿真测试结果表明：所提策略有效提升了产消者交易量，在维护市场成员经济效益的同时增强了电网运行的安全性与经济性，且能满足电网回收投资成本的要求。 |
| 关键词: P2P 能源交易 阻塞管理 过网费 分布式资源 |
| DOI：10.19783/j.cnki.pspc.250785 |
| 分类号: |
| 基金项目:国家自然科学基金联合基金重点支持项目（U22A20223） |
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| Coordinated regulation strategy for congestion management and network tariff allocation in peer-to-peer trading of local distribution network markets |
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GAO Jiyang，ZHOU Wei，QI Yuan，WU Siyu，CHEN Bo，WANG Zhonghui
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1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China；2. Electric Power Dispatching and Control Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
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| Abstract: |
| To fully exploit the flexible regulation potential at the distribution side and promote the local consumption of new energy through secure and fair trading of distributed resources, this paper proposes a coordinated regulation strategy for congestion management and network tariff allocation in peer-to-peer (P2P) energy trading with prosumer participation, based on the continuous double auction (CDA) mechanism. To address line flow overloading caused by distributed transactions while considering the network investment cost recovery, a congestion management model based on node marginal price is constructed. To quantify network usage costs arising during transactions, a network tariff calculation model is developed, incorporating both a basic usage fee and a topology-based surcharge. The network tariff is then settled according to the post-congestion-management trading results, and prosumers dynamically update their trading decisions accordingly. Simulation results on an optimized 11-node distribution network show that the proposed strategy effectively increases trading volume among prosumers, enhances system security and economic performance while safeguarding participants' economic benefits, and satisfies the requirement for network investment cost recovery. |
| Key words: P2P energy trading congestion management network tariff distributed resources |
