电网技术2024，Vol.48Issue(7)：2681-2690,10.DOI:10.13335/j.1000-3673.pst.2023.2128
超大型城市虚拟电厂的数字孪生框架设计及实践
Digital Twin Framework Design of Virtual Power Plant and Its Application Prospect in Mega-cities
摘要
Abstract
The energy system of mega-cities encompasses various heterogeneous distributed energy resource units(DERs),including uncertain new distributed generation units(e.g.,photovoltaic,wind turbines),flexible demand-side units(e.g.,air conditioning,thermal energy storage),and energy prosumer(e.g.,electric vehicles,energy storage systems).Virtual Power Plant(VPP)has emerged as an effective aggregation to reshape the energy ecosystem of mega-cities and comprehensively manage those DERs.This paper begins by addressing the construction goals and development status of VPP in mega-cities.It points out the challenges current VPP projects face in dealing with multi-agent,multi-objective,and high-uncertain scenarios.Systematic solutions are lacking,including modeling,simulation,deduction,analysis,decision-making,and validation procedures.To address this challenge,this paper combines the overall digital architecture and construction progress of urban power grids,proposing a framework for the digital twin of VPP(VPP-DT).The VPP-DT framework uses virtual spaces to simulate and analyze various developmental pathways for energy systems.Furthermore,focusing on intelligent decision-making goals,we explore its technical pathways,key technologies,mathematical tools,and more within the framework.The framework has helped the implementation of the VPP project demonstration in Lingang's new area,which provides a reference for the construction of VPP at the city level.Finally,this paper looks forward to the research direction and application prospect of digital twin VPP under megacities.关键词
虚拟电厂/分布式能源资源/数字孪生/态势感知/智能决策Key words
virtual power plant/distributed energy resource/digital twin/situational awareness/intelligent decision-making分类
信息技术与安全科学引用本文复制引用
周翔,贺兴,陈赟,罗潇,王佳裕,艾芊,韩烨宸..超大型城市虚拟电厂的数字孪生框架设计及实践[J].电网技术,2024,48(7):2681-2690,10.基金项目
国家重点研发计划项目(2021YFB2401204) （2021YFB2401204）
国家自然科学基金项目(52277111) （52277111）
上海市科学技术委员会项目(21DZ1208300).Project Supported by National Key Research and Development Program of China(2021YFB2401204) （21DZ1208300）
National Natural Science Foundation of China(52277111) （52277111）
Science and Technology Commission of Shanghai Municipality(21DZ1208300). （21DZ1208300）
