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Dynamic Monitoring of Voltage Difference Fault in Energy Storage System Based on Adaptive Threshold Algorithm

机译:基于自适应阈值算法的能量存储系统电压差错动态监测

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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.
机译:对于固定阈值设置方法无法实现电压差错的动态监测的问题,本文采用了数据驱动方法,以通过组合电池电压的阈值设置来建立用于能量存储系统的电压差的自适应阈值算法具有指数加权移动平均(EWMA)方法的能量存储系统的差异。与其他方法相比,通过该算法获得的报警阈值可以实现整个充电和放电过程中电压差的动态监测,提高预警准确性。中国电网侧储能电站的实际操作数据表明,算法的误报率和湛蓝报警速率低于1%,这可以极大地减轻操作和维护人员的工作量,同时确保安全和可靠的系统运行,应用良好的应用和促销价值。

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