首页|期刊导航|电力系统保护与控制|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

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OA

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

中文摘要英文摘要

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.

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.

高纪阳;周玮;齐缘;伍思宇;陈波;王钟辉

大连理工大学电气工程学院,辽宁 大连 116024大连理工大学电气工程学院,辽宁 大连 116024大连理工大学电气工程学院,辽宁 大连 116024大连理工大学电气工程学院,辽宁 大连 116024大连理工大学电气工程学院,辽宁 大连 116024国网辽宁省电力有限公司调度控制中心,辽宁 沈阳 110000

点对点交易连续双向拍卖机制过网费电气距离本地市场

peer-to-peer tradingcontinuous double auction mechanismnetwork tariffelectrical distancelocal market

《电力系统保护与控制》 2026 (6)

22-33,12

This work is supported by the Key Project of Joint Fund of National Natural Science Foundation of China(No.U22A20223). 国家自然科学基金联合基金重点支持项目资助(U22A20223)

10.19783/j.cnki.pspc.250586

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