动态过网费分摊对CDA交易机制下本地市场点对点能源交易影响研究

高纪阳; 周 玮; 齐 缘; 伍思宇; 陈 波; 王钟辉

引用本文:	高纪阳,周玮,齐缘,等.动态过网费分摊对CDA交易机制下本地市场点对点能源交易影响研究[J].电力系统保护与控制,2026,54(06):22-33.
	GAO Jiyang,ZHOU Wei,QI Yuan,et al.Impact of dynamic network tariff allocation on local peer-to-peer energy trading under the CDA mechanism[J].Power System Protection and Control,2026,54(06):22-33

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动态过网费分摊对CDA交易机制下本地市场点对点能源交易影响研究
高纪阳¹ ,周玮¹,齐缘¹,伍思宇¹,陈波¹,王钟辉²
1.大连理工大学电气工程学院，辽宁大连 116024；2.国网辽宁省电力有限公司调度控制中心，辽宁沈阳 110000

摘要:

为解决点对点(peer-to-peer, P2P)能源交易模式下配电网运营成本回收问题，确保产消者参与市场交易的公平性，基于二次连续双向拍卖(continuous double auction, CDA)机制开展动态过网费分摊对多产消者P2P能量交易的影响研究。将动态过网费分为基础使用费和与网络拓扑结构相关的费用。提出基于电压偏移调整费、网损费用以及特许经营权损失费的基础使用费量化模型，同时利用电气距离矩阵构建网络拓扑成本评估模型，以确定输电费用中与电网结构相关的部分。计及动态过网费提出增强零信息报价改进策略，并采用模型预测控制报量策略，以实现电能交易的高效匹配。通过改进的11节点配电网算例进行仿真分析，结果表明：加入过网费可提升产消者交易量，同时也满足了电网回收投资成本的需要。

关键词: 点对点交易连续双向拍卖机制过网费电气距离本地市场

DOI：10.19783/j.cnki.pspc.250586

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资助(U22A20223)

Impact of dynamic network tariff allocation on local peer-to-peer energy trading under the CDA mechanism

GAO Jiyang¹,ZHOU Wei¹,QI Yuan¹,WU Siyu¹,CHEN Bo¹,WANG Zhonghui²

1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China; 2. Electric Power Dispatchingand Control Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China

Abstract:

To address the issue of distribution network cost recovery under the peer-to-peer (P2P) energy trading model and to ensure fairness among prosumers participating in market transactions, this paper investigates the impact of dynamic network tariff allocation on multi-prosumer P2P energy trading based on the continuous double auction (CDA) mechanism. The dynamic network tariff is divided into a basic usage fee and a topology-related charge. A quantitative model for the basic usage fee is proposed, incorporating voltage deviation adjustment costs, network loss costs, and concession right loss costs. Meanwhile, a network topology cost assessment model is constructed using the electrical distance matrix to determine the portion of transmission fees related to grid structure. An enhanced zero-information bidding improvement strategy is proposed considering the dynamic network tariff, along with a model predictive control-based quantity bidding strategy to achieve efficient energy transaction matching. Simulation analysis is conducted on an improved 11-node distribution network. The results show that incorporating network tariffs not only increases prosumer trading volumes but also satisfies the requirement for grid investment cost recovery.

Key words: peer-to-peer trading continuous double auction mechanism network tariff electrical distance local market

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