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OA
Multi index fusion reliability evaluation method for virtual power plants considering the dynamic characteristics of energy storage
虚拟电厂(virtual power plant,VPP)作为聚合"源-储-荷"多元资源的核心枢纽,其可靠性评估对电力系统稳定运行与可再生能源消纳至关重要.当前评估方法存在两点局限:1)采用静态储能模型,难以反映设备动态特性;2)评估指标无法量化供电过程中的功率输出稳定性.为此,提出一种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.首先,基于储能设备在充放电过程中的容量衰减与效率退化特性,构建动态储能模型;其次,整合风电、光伏、可调负荷及电网交易等多元能源,构建体现"源-储-荷"协同运行的虚拟电厂模型;最后,围绕供电稳定性与可再生能源消纳效率,提出平均输出功率稳定性(mean VPP export,MVPPE)和可再生能源未利用量(expected renewable energy not used,ERENU)指标,融合传统电力不足概率、期望缺供电量,建立考虑储能动态特性的虚拟电厂可靠性评估体系.仿真结果表明,该方法较传统静态储能模型可使MVPPE提升14.5%、ERENU降低 88.7%,能更真实反映虚拟电厂的可靠性水平,为其规划、运行与优化提供科学依据.
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.
WANG Huidong;NI Linna;LU Pengfei;CHENG Ying;WU Yingjun
State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310016,ChinaState Grid Zhejiang Electric Power Co.,Ltd.,Marketing Service Center,Hangzhou 310016,ChinaState Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310016,ChinaState Grid Zhejiang Electric Power Co.,Ltd.,Marketing Service Center,Hangzhou 310016,ChinaCollege of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China
虚拟电厂动态储能可靠性评估
virtual power plantdynamic energy storagereliability assessment
《中国电力》 2026 (1)
33-43,11
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).
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