基于自适应阈值算法的储能系统电压差故障动态监测

Ji Zhao, Lan Gao, B. Huang, Hu Yan, Mengqi He, Jun Jia, Huachi Xu
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引用次数: 4

摘要

针对固定阈值设置方法无法实现电压差故障动态监测的问题,本文采用数据驱动的方法,将储能系统电池电压差阈值设置与指数加权移动平均(EWMA)方法相结合,建立了储能系统电压差自适应阈值算法。与其他方法相比,该算法获得的报警阈值可以实现对整个充放电过程电压差的动态监测,提高了预警的准确性。中国某电网侧储能电站的实际运行数据表明,该算法的虚警率和漏警率均低于1%,在保证系统安全可靠运行的同时,可大大减轻运维人员的工作量,具有良好的应用和推广价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Monitoring of Voltage Difference Fault in Energy Storage System Based on Adaptive Threshold Algorithm
For the problem that the fixed threshold setting method cannot realize dynamic monitoring of voltage difference fault, a data-driven method is adopted in this paper to establish an adaptive threshold algorithm for voltage difference of the energy storage system by combining the threshold setting for battery voltage difference of the energy storage system with the exponentially weighted moving-average (EWMA) method. Compared with other methods, the alarm threshold obtained by the algorithm can realize dynamic monitoring of the voltage difference in the whole charging and discharging process and improve the accuracy of early warning. The actual operation data of a power grid-side energy storage power station in China show that the false alarm rate and omissive alarm rate of the algorithm are lower than 1%, which can greatly alleviate the workload of operation and maintenance personnel while ensuring the safe and reliable operation of the system, with good application and promotion value.
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