A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics
There are a large number of photovoltaic (PV) arrays in large-scale PV power plants or regional distributed PV power plants, and the output of different arrays fluctuates with the external conditions. The deviation and evolution information of the array output are easily covered by the random fluctu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2020/2176971 |
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| _version_ | 1832568554751262720 |
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| author | Jian Zhao Qian Sun Ning Zhou Hao Liu Haizheng Wang |
| author_facet | Jian Zhao Qian Sun Ning Zhou Hao Liu Haizheng Wang |
| author_sort | Jian Zhao |
| collection | DOAJ |
| description | There are a large number of photovoltaic (PV) arrays in large-scale PV power plants or regional distributed PV power plants, and the output of different arrays fluctuates with the external conditions. The deviation and evolution information of the array output are easily covered by the random fluctuations of the PV output, which makes the fault diagnosis of PV arrays difficult. In this paper, a fault diagnosis method based on the deviation characteristics of the PV array output is proposed. Based on the current of the PV array on the DC (direct current) side, the deviation characteristics of the PV array output under different arrays and time series are analyzed. Then, the deviation function is constructed to evaluate the output deviation of the PV array. Finally, the fault diagnosis of a PV array is realized by using the probabilistic neural network (PNN), and the effectiveness of the proposed method is verified. The main contributions of this paper are to propose the deviation function that can extract the fault characteristics of PV array and the fault diagnosis method just using the array current which can be easily applied in the PV plant. |
| format | Article |
| id | doaj-art-2811c05eff724030a6df78f328714c8c |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-2811c05eff724030a6df78f328714c8c2025-02-03T00:58:48ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2020-01-01202010.1155/2020/21769712176971A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation CharacteristicsJian Zhao0Qian Sun1Ning Zhou2Hao Liu3Haizheng Wang4State Grid Henan Electric Power Company Research Institute, Zhengzhou 450000, ChinaState Grid Henan Electric Power Company Research Institute, Zhengzhou 450000, ChinaState Grid Henan Electric Power Company Research Institute, Zhengzhou 450000, ChinaState Grid Henan Electric Power Company Research Institute, Zhengzhou 450000, ChinaSchool of Renewable Energy, North China Electric Power University, Beijing 102206, ChinaThere are a large number of photovoltaic (PV) arrays in large-scale PV power plants or regional distributed PV power plants, and the output of different arrays fluctuates with the external conditions. The deviation and evolution information of the array output are easily covered by the random fluctuations of the PV output, which makes the fault diagnosis of PV arrays difficult. In this paper, a fault diagnosis method based on the deviation characteristics of the PV array output is proposed. Based on the current of the PV array on the DC (direct current) side, the deviation characteristics of the PV array output under different arrays and time series are analyzed. Then, the deviation function is constructed to evaluate the output deviation of the PV array. Finally, the fault diagnosis of a PV array is realized by using the probabilistic neural network (PNN), and the effectiveness of the proposed method is verified. The main contributions of this paper are to propose the deviation function that can extract the fault characteristics of PV array and the fault diagnosis method just using the array current which can be easily applied in the PV plant.http://dx.doi.org/10.1155/2020/2176971 |
| spellingShingle | Jian Zhao Qian Sun Ning Zhou Hao Liu Haizheng Wang A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics International Journal of Photoenergy |
| title | A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics |
| title_full | A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics |
| title_fullStr | A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics |
| title_full_unstemmed | A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics |
| title_short | A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics |
| title_sort | photovoltaic array fault diagnosis method considering the photovoltaic output deviation characteristics |
| url | http://dx.doi.org/10.1155/2020/2176971 |
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