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虚拟电厂可信交易的技术难点与解决方案

王帝 艾芊 余涛 左娟 鲁意 李嘉媚

电力系统自动化2025,Vol.49Issue(19):8-25,18.
电力系统自动化2025,Vol.49Issue(19):8-25,18.DOI:10.7500/AEPS20240429006

虚拟电厂可信交易的技术难点与解决方案

Technical Challenges and Solutions for Trusted Trading of Virtual Power Plant

王帝 1艾芊 1余涛 2左娟 3鲁意 2李嘉媚1

作者信息

  • 1. 电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
  • 2. 国网上海市电力公司,上海市 200122
  • 3. 电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240||国网上海能源互联网研究院有限公司,上海市 201210
  • 折叠

摘要

Abstract

Virtual power plants aggregate massive distributed resources.With varying demands and preferences,the resources have higher requirements for transaction transparency,fairness,privacy,and real-time processing.Efficient operation of virtual power plants requires the creation of a low-trust-cost trading environment.This paper focuses on the trusted trading of virtual power plants.Firstly,it analyzes the trading modes of virtual power plants from two perspectives:the current market participation and the organizational structure of trading.Secondly,it outlines the core characteristics(transparency,fairness,security,and efficiency)and construction paths for trusted trading.Combined with the typical trading process of virtual power plants,the technical challenges of trusted trading of virtual power plant are analyzed.Thirdly,in response to these technical challenges,solutions for trusted trading of virtual power plant are proposed from four aspects:identity verification and market access,communication security and data management,market mechanisms and trading strategy design,and the design of automated trading processes and platforms.Finally,this paper prospects the key technologies that will continue to support the trusted trading of virtual power plants in the future.

关键词

分布式资源/电力市场/虚拟电厂/可信交易/区块链/隐私保护/机制设计

Key words

distributed resource/electricity market/virtual power plant/trusted trading/blockchain/privacy protection/mechanism design

引用本文复制引用

王帝,艾芊,余涛,左娟,鲁意,李嘉媚..虚拟电厂可信交易的技术难点与解决方案[J].电力系统自动化,2025,49(19):8-25,18.

基金项目

国家重点研发计划资助项目(2021YFB2401203). This work is supported by National Key R&D Program of China(No.2021YFB2401203). (2021YFB2401203)

电力系统自动化

OA北大核心

1000-1026

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