Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization
Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In...
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| Format: | Article |
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MDPI AG
2019-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/18/3527 |
| _version_ | 1797999820040830976 |
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| author | Huawen Sheng Chunquan Li Hanming Wang Zeyuan Yan Yin Xiong Zhenting Cao Qianying Kuang |
| author_facet | Huawen Sheng Chunquan Li Hanming Wang Zeyuan Yan Yin Xiong Zhenting Cao Qianying Kuang |
| author_sort | Huawen Sheng |
| collection | DOAJ |
| description | Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In the IMFO, a double flames generation (DFG) strategy is proposed to generate two different types of target flames for guiding the flying of moths. Furthermore, two different update strategies are developed for updating the positions of moths. To greatly balance the exploitation and exploration, we adopt a probability to rationally select one of the two update strategies for each moth at each iteration. The proposed IMFO is used to distinguish the parameter of three test PV models including single diode model (SDM), double diode model (DDM), and PV module model (PMM). The results indicate that, compared with other well-established methods, the proposed IMFO can obtain an extremely promising performance. |
| first_indexed | 2024-04-11T11:10:48Z |
| format | Article |
| id | doaj.art-80b9be9743a948c99a294c1b3151da25 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:10:48Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-80b9be9743a948c99a294c1b3151da252022-12-22T04:27:30ZengMDPI AGEnergies1996-10732019-09-011218352710.3390/en12183527en12183527Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame OptimizationHuawen Sheng0Chunquan Li1Hanming Wang2Zeyuan Yan3Yin Xiong4Zhenting Cao5Qianying Kuang6School of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330029, ChinaPhotovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems. To reliably and accurately extract their parameters, this paper presents one improved moths-flames optimization (IMFO) method. In the IMFO, a double flames generation (DFG) strategy is proposed to generate two different types of target flames for guiding the flying of moths. Furthermore, two different update strategies are developed for updating the positions of moths. To greatly balance the exploitation and exploration, we adopt a probability to rationally select one of the two update strategies for each moth at each iteration. The proposed IMFO is used to distinguish the parameter of three test PV models including single diode model (SDM), double diode model (DDM), and PV module model (PMM). The results indicate that, compared with other well-established methods, the proposed IMFO can obtain an extremely promising performance.https://www.mdpi.com/1996-1073/12/18/3527moth-flame optimizationparameter extractionphotovoltaic modeldouble flames generation (DFG) strategy |
| spellingShingle | Huawen Sheng Chunquan Li Hanming Wang Zeyuan Yan Yin Xiong Zhenting Cao Qianying Kuang Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization Energies moth-flame optimization parameter extraction photovoltaic model double flames generation (DFG) strategy |
| title | Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization |
| title_full | Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization |
| title_fullStr | Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization |
| title_full_unstemmed | Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization |
| title_short | Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization |
| title_sort | parameters extraction of photovoltaic models using an improved moth flame optimization |
| topic | moth-flame optimization parameter extraction photovoltaic model double flames generation (DFG) strategy |
| url | https://www.mdpi.com/1996-1073/12/18/3527 |
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