TY  - EJOU
AU  - Ye, Xiaohui 
AU  - Tan, Fucheng 
AU  - Song, Xinli 
AU  - Dai, Hanyang 
AU  - Li, Xia 
AU  - Mu, Shixia 
AU  - Hao, Shaohang 

TI  - Modeling, Simulation, and Risk Analysis of Battery Energy Storage Systems in New Energy Grid Integration Scenarios
T2  - Energy Engineering

PY  - 2024
VL  - 121
IS  - 12
SN  - 1546-0118

AB  - 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 multi-time 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 risk model, which takes into account SOC and charge-discharge rate (<i>C</i><sub><i>r</i></sub>), using a modified 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, minute-scale 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.
KW  - Grid-connected battery energy storage system; thermal-electric-performance coupling model; operational risk model; failure rate; risk analysis

DO  - 10.32604/ee.2024.055200