电力建设2024，Vol.45Issue(9)：164-177,14.DOI:10.12204/j.issn.1000-7229.2024.09.014
配电网下多虚拟电厂间计及过网费的端对端电能交易方法
Peer-to-Peer Power Trading Among Virtual Power Plants Considering Network Fees in Distribution Network
摘要
Abstract
With the advances in power systems and the opening of electricity retail markets,peer-to-peer transactions have become essential for promoting the integration of distributed energy resources. However,owing to their small individual capacity and dispersed locations,such resources demand an efficient energy management paradigm for aggregation. Furthermore,the existing transaction mechanisms exhibit shortcomings in the design of network tariff fees,hindering their effectiveness in promoting the localized consumption of energy. In this context,this paper proposes a mechanism and model for peer-to-peer energy trading between virtual power plants (VPPs) considering the power flow of the distribution network under multiple access nodes. First,the overall architecture of peer-to-peer power trading between multiple VPPs is designed. Second,an optimization model for VPPs is established to optimize the output of VPPs at different connection points. Based on the optimization results,strategies of bidding for the next matching phase are formulated. Subsequently,a trading matching mechanism that considers network charges is designed,and safety verification models and congestion management models based on the optimal power flow of the distribution network are established to manage the matched orders. Finally,the effectiveness of the proposed mechanisms and models is validated through a case study in the IEEE33 node system.关键词
虚拟电厂/配电网/端对端交易/过网费/交易匹配机制/安全校验Key words
virtual power plant/distribution network/peer-to-peer trading/network fees/trading mechanism/security check分类
信息技术与安全科学引用本文复制引用
高璐瑶,李华强,臧天磊,武姝凝,胡钰,王子峣..配电网下多虚拟电厂间计及过网费的端对端电能交易方法[J].电力建设,2024,45(9):164-177,14.基金项目
国家自然科学基金项目(52377115,51907097)This work is supported by National Natural Science Foundation of China(No.52377115,No.51907097). （52377115,51907097）
