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PHOTOVOLTAIC ARRAY FAULT DIAGNOSIS METHOD BASED ON IMPROVED RANDOM FOREST ALGORITHM
PHOTOVOLTAIC ARRAY FAULT DIAGNOSIS METHOD BASED ON IMPROVED RANDOM FOREST ALGORITHM
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机译:基于改进的随机森林算法的光伏阵列故障诊断方法
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摘要
Disclosed is a photovoltaic array fault diagnosis method based on an improved random forest algorithm, relating to the field of photovoltaic technology. In the method, a running state of each branch in a photovoltaic array is reflected by means of parameters of a main trunk and each branch of the photovoltaic array, and a running state of each photovoltaic cell assembly in the branch is reflected by means of a voltage difference between arrays among different branches, so as to realize fault location of the photovoltaic array; and by optimizing and improving the three parts, i.e. decision tree weighting and voting, tie processing and the importance measurement of fault features, by means of out-of-package samples, the accuracy of the fault diagnosis can be higher and the reliability of the fault diagnosis can be stronger.
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