EVALUATION METHOD OF ASH ACCUMULATION DEGREE OF PHOTOVOLTAIC ARRAY BASED ON GS-SVM

Zhang Chuo; Li Shucheng; Wei Dong; Liu Sumin; Yi Jianbo

doi:10.19912/j.0254-0096.tynxb.2023-1093

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 220-226. DOI: 10.19912/j.0254-0096.tynxb.2023-1093

EVALUATION METHOD OF ASH ACCUMULATION DEGREE OF PHOTOVOLTAIC ARRAY BASED ON GS-SVM

Zhang Chuo¹, Li Shucheng¹, Wei Dong¹, Liu Sumin², Yi Jianbo²

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Abstract

A method for evaluating the degree of array ash accumulation based on grid search （GS） and support vector machine （SVM） is proposed to effectively solve the potential economic gain/loss problem between the surface ash accumulation of PV arrays and the PV output power. By analyzing the output characteristics of PV arrays with ash accumulation and mixed with other faults, it is revealed that the electrical parameter of short-circuit current is able to reflect the ash accumulation of PV arrays and is not easily disturbed by other faults. An SVM model for assessing the degree of ash accumulation is proposed using three parameters, namely, short-circuit current, solar irradiance, and temperature, as input feature quantities and incorporating GS hyperparametric optimization techniques. After the experimental test and analysis, it is proved that the accuracy of this method is higher than DecisionTree, GS-DecisionTree, and XGBoost evaluation methods, and the application is easy to be popularized because of the low demand for the amount of data collection and the amount of training samples.

Key words

photovoltaic modules / short-circuit current / grid search / support vector machine / ash accumulation evaluation

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Zhang Chuo, Li Shucheng, Wei Dong, Liu Sumin, Yi Jianbo. EVALUATION METHOD OF ASH ACCUMULATION DEGREE OF PHOTOVOLTAIC ARRAY BASED ON GS-SVM[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 220-226 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1093

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