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电化学储能电站的系统故障监测与诊断分析

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随着电化学储能电站规模的扩大,如何提高系统故障监测及诊断效率,实现对故障的早期预防及处理,成为国内外关注的热点.本文从电化学储能电站的常见故障入手,找到系统故障相关变量及影响因子,进而确定系统故障监测指标;之后根据不同故障类型及区域,选择合适的监测及诊断方法,最大限度降低系统故障造成的危害,为电化学储能电站的安全运行提供支持.
System fault monitoring and diagnostic analysis of electrochemical energy storage power stations
With the expansion of the scale of electrochemical energy storage power stations,how to improve the efficiency of system fault detection and diagnosis to achieve early prevention and treatment of faults has become a hot spot at home and abroad.Starting from the common faults of electrochemical energy storage power station,the variables and influencing factors of system faults are found,and then the detection indicators of system faults are determined.Then,according to the different types and regions of faults,appropriate detection and diagnosis methods are selected to minimize the harm caused by system faults and support the safe operation of electrochemical energy storage power stations.

electrochemical energy storage power stationsystem faultdetectiondiagnosisthermal runaway

许利君、许利红、宋方宇轩

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郑州工商学院工学院,河南 郑州 451400

国网河南直流中心,河南 郑州 450000

电化学储能电站 系统故障 监测 诊断 热失控

2024

储能科学与技术
化学工业出版社

储能科学与技术

CSTPCD北大核心
影响因子:0.852
ISSN:2095-4239
年,卷(期):2024.13(8)
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