Modeling,Simulation,and Risk Analysis of Battery Energy Storage Systems in New Energy Grid Integration Scenarios  

作　　者：Xiaohui Ye Fucheng Tan Xinli Song Hanyang Dai Xia Li Shixia Mu Shaohang Hao 

机构地区：[1]School of Electrical Engineering,Yanshan University,Qinhuangdao,066004,China [2]Power System Department,Electric Power Research Institute,Beijing,100192,China

出　　处：《Energy Engineering》2024年第12期3689-3710,共22页能源工程（英文）

基　　金：Supported by Open Fund of National Key Laboratory of Power Grid Safety(No.XTB51202301386).

摘　　要：Energy storage batteries can smooth the volatility of renewable energy sources.The operating conditions during power grid integration of renewable energy can affect the performance and failure risk of battery energy storage system(BESS).However,the current modeling of grid-connected BESS is overly simplistic,typically only considering state of charge(SOC)and power constraints.Detailed lithium(Li)-ion battery cell models are computationally intensive and impractical for real-time applications and may not be suitable for power grid operating conditions.Additionally,there is a lack of real-time batteries risk assessment frameworks.To address these issues,in this study,we establish a thermal-electric-performance(TEP)coupling model based on a multitime scale BESS model,incorporating the electrical and thermal characteristics of Li-ion batteries along with their performance degradation to achieve detailed simulation of grid-connected BESS.Additionally,considering the operating characteristics of energy storage batteries and electrical and thermal abuse factors,we developed a battery pack operational riskmodel,which takes into account SOCand charge-discharge rate(Cr),using amodified failure rate to represent the BESS risk.By integrating detailed simulation of energy storage with predictive failure risk analysis,we obtained a detailed model for BESS risk analysis.This model offers a multi-time scale integrated simulation that spans month-level energy storage simulation times,day-level performance degradation,minutescale failure rate,and second-level BESS characteristics.It offers a critical tool for the study of BESS.Finally,the performance and risk of energy storage batteries under three scenarios—microgrid energy storage,wind power smoothing,and power grid failure response—are simulated,achieving a real-time state-dependent operational risk analysis of the BESS.

关 键 词：Grid-connected battery energy storage system thermal-electric-performance coupling model operational risk model failure rate risk analysis 

分 类 号：TM91[电气工程—电力电子与电力传动]