中国电力2024，Vol.57Issue(6)：9-17,44,10.DOI:10.11930/j.issn.1004-9649.202401040
基于向量误差修正模型的电池簇不一致检测方法及智能运维方案
Battery Cluster Inconsistency Detection Method and Intelligent O&M Scheme Based on Vector Error Correction Model
摘要
Abstract
To solve the problems of incomplete battery data and fragmented data segments leading to inaccurate detection in the actual operation data of energy storage power stations,this paper proposes a battery cluster inconsistency detection method based on the vector error correction model.In this method,the vector error correction model of battery clusters and battery cells is constructed using random voltage fragment data,the impulse response function is calculated,the dynamic mechanism of battery cells on battery clusters is analyzed,and the inconsistency degree of battery clusters is assessed.Subsequently,the abnormal battery cells and subsequent operation and maintenance are identified by variance decomposition analysis.Finally,through the actual operation data of the energy storage power station,the feasibility and effectiveness of the battery cluster inconsistency detection method and operation and maintenance scheme are verified in an actual engineering test on a 100 kW/200 kW·h energy storage platform.关键词
电池簇不一致/随机片段数据/向量误差修正模型/智能运维方案Key words
battery inconsistency/random fragment data/vector error correction model/intelligent O&M scheme引用本文复制引用
郭源,夏向阳,岳家辉,李辉,吴晋波..基于向量误差修正模型的电池簇不一致检测方法及智能运维方案[J].中国电力,2024,57(6):9-17,44,10.基金项目
国家自然科学基金资助项目(柔性直流输电交流侧故障下换流器多桥臂主动应对的能量调控机理及穿越控制研究,51977014). This work is supported by National Natural Science Foundation of China(Research on Energy Regulation Mechanism and Fault Ride-Through Control of Multi-armed Converter of AC Side Fault in MMC-HVDC System,No.51977014). （柔性直流输电交流侧故障下换流器多桥臂主动应对的能量调控机理及穿越控制研究,51977014）
