中国电力2026，Vol.59Issue(1)：33-43,11.DOI:10.11930/j.issn.1004-9649.202505077
考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法
Multi index fusion reliability evaluation method for virtual power plants considering the dynamic characteristics of energy storage
摘要
Abstract
As a core hub for aggregating multi-source"generation-storage-load"resources,the reliability assessment of Virtual Power Plants(VPPs)is crucial for the stable operation of power systems and the absorption of renewable energy.Current assessment methods have two limitations:first,they adopt static energy storage models,which struggle to reflect the dynamic characteristics of devices;second,the evaluation indicators fail to quantify the power output stability during the power supply process.To address this,a multi-indicator integrated reliability assessment method for virtual power plants considering the dynamic characteristics of energy storage is proposed.Firstly,a dynamic energy storage model is constructed based on the capacity degradation and efficiency deterioration characteristics of energy storage devices during charging and discharging processes.Secondly,multiple energy sources such as wind power,photovoltaic power,adjustable loads,and grid transactions are integrated to build a virtual power plant model that reflects the collaborative operation of"generation-storage-load".Finally,focusing on power supply stability and renewable energy absorption efficiency,two indicators—Mean VPP Export Power Stability(MVPPE)and Expected Renewable Energy Not Used(ERENU)—are proposed.Combined with traditional indicators including Loss of Load Probability(LOLP)and Expected Energy Not Supplied(EENS),a reliability assessment system for virtual power plants considering the dynamic characteristics of energy storage is established.Simulation results show that compared with the traditional static energy storage model,this method increases MVPPE by 14.5%and reduces ERENU by 88.7%,which can more truly reflect the reliability level of VPPs and provide a scientific basis for their planning,operation,and optimization.关键词
虚拟电厂/动态储能/可靠性评估Key words
virtual power plant/dynamic energy storage/reliability assessment引用本文复制引用
WANG Huidong,NI Linna,LU Pengfei,CHENG Ying,WU Yingjun..考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法[J].中国电力,2026,59(1):33-43,11.基金项目
国网浙江省电力有限公司科技项目(B311YF24000W). This work is supported by Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd.(No.B311YF24000W). （B311YF24000W）
