ANFIS-Based Modeling for Photovoltaic Characteristics Estimation
Due to the high cost of photovoltaic (PV) modules, an accurate performance estimation method is significantly valuable for studying the electrical characteristics of PV generation systems. Conventional analytical PV models are usually composed by nonlinear exponential functions and a good number of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-09-01
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| Series: | Symmetry |
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| Online Access: | http://www.mdpi.com/2073-8994/8/9/96 |
| _version_ | 1818008317595746304 |
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| author | Ziqiang Bi Jieming Ma Xinyu Pan Jian Wang Yu Shi |
| author_facet | Ziqiang Bi Jieming Ma Xinyu Pan Jian Wang Yu Shi |
| author_sort | Ziqiang Bi |
| collection | DOAJ |
| description | Due to the high cost of photovoltaic (PV) modules, an accurate performance estimation method is significantly valuable for studying the electrical characteristics of PV generation systems. Conventional analytical PV models are usually composed by nonlinear exponential functions and a good number of unknown parameters must be identified before using. In this paper, an adaptive-network-based fuzzy inference system (ANFIS) based modeling method is proposed to predict the current-voltage characteristics of PV modules. The effectiveness of the proposed modeling method is evaluated through comparison with Villalva’s model, radial basis function neural networks (RBFNN) based model and support vector regression (SVR) based model. Simulation and experimental results confirm both the feasibility and the effectiveness of the proposed method. |
| first_indexed | 2024-04-14T05:27:35Z |
| format | Article |
| id | doaj.art-bcf749e1f2454396975ea04a6827f3d8 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-14T05:27:35Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-bcf749e1f2454396975ea04a6827f3d82022-12-22T02:09:55ZengMDPI AGSymmetry2073-89942016-09-01899610.3390/sym8090096sym8090096ANFIS-Based Modeling for Photovoltaic Characteristics EstimationZiqiang Bi0Jieming Ma1Xinyu Pan2Jian Wang3Yu Shi4School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaDue to the high cost of photovoltaic (PV) modules, an accurate performance estimation method is significantly valuable for studying the electrical characteristics of PV generation systems. Conventional analytical PV models are usually composed by nonlinear exponential functions and a good number of unknown parameters must be identified before using. In this paper, an adaptive-network-based fuzzy inference system (ANFIS) based modeling method is proposed to predict the current-voltage characteristics of PV modules. The effectiveness of the proposed modeling method is evaluated through comparison with Villalva’s model, radial basis function neural networks (RBFNN) based model and support vector regression (SVR) based model. Simulation and experimental results confirm both the feasibility and the effectiveness of the proposed method.http://www.mdpi.com/2073-8994/8/9/96ANFISmodelingcharacteristic estimationphotovoltaic module |
| spellingShingle | Ziqiang Bi Jieming Ma Xinyu Pan Jian Wang Yu Shi ANFIS-Based Modeling for Photovoltaic Characteristics Estimation Symmetry ANFIS modeling characteristic estimation photovoltaic module |
| title | ANFIS-Based Modeling for Photovoltaic Characteristics Estimation |
| title_full | ANFIS-Based Modeling for Photovoltaic Characteristics Estimation |
| title_fullStr | ANFIS-Based Modeling for Photovoltaic Characteristics Estimation |
| title_full_unstemmed | ANFIS-Based Modeling for Photovoltaic Characteristics Estimation |
| title_short | ANFIS-Based Modeling for Photovoltaic Characteristics Estimation |
| title_sort | anfis based modeling for photovoltaic characteristics estimation |
| topic | ANFIS modeling characteristic estimation photovoltaic module |
| url | http://www.mdpi.com/2073-8994/8/9/96 |
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