Full
Outline
To improve the accuracy of fault diagnosis for photovoltaic arrays, a photovoltaic fault diagnosis method based on an improved dung beetle optimization (IDBO) algorithm which is used to optimize a light gradient boosting machine (LightGBM) is proposed. The IDBO algorithm is used to optimize specific hyperparameters in LightGBM, and a fault diagnosis model for photovoltaic arrays based on IDBO-LightGBM is established. To effectively distinguish various faults, the characteristic points extracted from the current-voltage curves are utilized. To validate the effectiveness of the proposed method, simulation analysis is conducted on the model. A comparison is performed among the proposed method, LightGBM algorithm, DBO-LightGBM algorithm, other decision tree algorithms and support vector machine algorithm, and results verify the stability and accuracy of the novel method.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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