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计及V2G主动支撑的输配协同日前-实时优化调度

姜涛 吴成昊 李雪 张儒峰 付麟博

电力系统自动化2025,Vol.49Issue(10):87-100,14.
电力系统自动化2025,Vol.49Issue(10):87-100,14.DOI:10.7500/AEPS20240718006

计及V2G主动支撑的输配协同日前-实时优化调度

Transmission and Distribution Coordinated Day-ahead and Real-time Optimal Scheduling Considering Active Support of Vehicle-to-Grid

姜涛 1吴成昊 1李雪 1张儒峰 1付麟博1

作者信息

  • 1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省 吉林市 132012
  • 折叠

摘要

Abstract

The widespread application of renewable energy generation and electric vehicles(EVs)has made the operation of the power systems more complex,which poses a power balance challenge to the transmission network.It is urgent to tap into the potential for active and reactive power support of various resources.Considering the aggregation of active distribution networks on distributed resources such as EVs,this paper proposes a transmission and distribution coordinated day-ahead and real-time optimal scheduling method considering the active support of vehicle-to-grid(V2G).First,considering the mechanisms of energy market,flexibility market,and reactive power ancillary service market,a V2G response model for EVs under market environment is constructed to analyze the active and reactive power support potential of EVs.Then,considering the information privacy of different stakeholders,a transmission-distribution coordinated day-ahead and real-time distributed optimal scheduling model is constructed,which coordinates various active and reactive power regulation resources to meet the requirements of system power supply-demand balance.Finally,the proposed optimal scheduling method is analyzed and validated in the testing systems.The results show that the proposed method can achieve optimal scheduling of distributed controllable resources while improving system operation economy and flexibility.

关键词

车网互动/电动汽车/输配协同/聚合/能量市场/灵活性市场/无功辅助服务/实时优化调度/分布式资源

Key words

vehicle-to-grid(V2G)/electric vehicle(EV)/transmission and distribution coordination/aggregation/energy market/flexibility market/reactive power ancillary service/real-time optimal scheduling/distributed resource

引用本文复制引用

姜涛,吴成昊,李雪,张儒峰,付麟博..计及V2G主动支撑的输配协同日前-实时优化调度[J].电力系统自动化,2025,49(10):87-100,14.

基金项目

国家自然科学基金企业创新发展联合基金资助项目(U22B20105). This work is supported by National Natural Science Foundation of China(No.U22B20105). (U22B20105)

电力系统自动化

OA北大核心

1000-1026

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