为快速检测和准确识别电解槽故障,提出一种基于交错电压检测电路的加权修正方差算法和改进相关系数算法结合的故障诊断方法,对具有电压特征的电解槽多种小室故障进行识别和诊断。首先,采用小室交错电压检测的方法,结合加权修正方差算法提取故障特征,从而识别是否存在故障,以及区分电解槽小室故障和电压传感器故障。其次,考虑到可再生能源制氢时电压的波动性,提出利用小室间电压的相关性,采用改进相关系数算法,进行电解槽短路、缺水等故障的诊断。经过算例分析与结果对比,验证了故障诊断方法的可行性。
Abstract
To quickly detect and accurately identify the electrolytic cells fault, a fault diagnosis method based on an interleaved voltage detection circuit combining a weighted modified variance algorithm and improved correlation coefficient algorithm is proposed to identify and diagnose the various faults of the electrolytic cells with voltage characteristics. Firstly, the method of interleaved voltage detection is used, and the weighted modified variance algorithm is used to extract the fault features, to identify whether there is a fault, and distinguish the small cell fault and voltage sensor fault. Secondly, considering the voltage fluctuation in hydrogen production from renewable energy, it is proposed to utilize the correlation of inter-cell voltages and adopt an improved correlation coefficient algorithm to diagnose faults such as short circuits and water shortage in electrolytic cells. The feasibility of the fault diagnosis method is verified by example analysis and result comparisons.
关键词
电解槽 /
故障检测 /
电压测量 /
加权修正方差 /
相关系数
Key words
electrolytic cells /
fault detection /
voltage measurement /
weighted modified variance /
correlation coefficient
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基金
河北省重点研发计划（21314303D）; 河北省科技重大专项（23284502Z）
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