An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions
This study is aimed at providing a comparison between fuzzy systems and convectional P&O for tracking MPP of a PV system. MATLAB/Simulink is used to investigate the response of both algorithms. Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) par...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2018/1840502 |
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| _version_ | 1832561750456664064 |
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| author | Khaled Bataineh |
| author_facet | Khaled Bataineh |
| author_sort | Khaled Bataineh |
| collection | DOAJ |
| description | This study is aimed at providing a comparison between fuzzy systems and convectional P&O for tracking MPP of a PV system. MATLAB/Simulink is used to investigate the response of both algorithms. Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) partial shading. Under partial shading on a PV panel, multipeaks appeared in P-V characteristics of the panel. Simulation results showed that a fuzzy controller effectively finds MPP for all weather condition scenarios. Furthermore, simulation results obtained from the FLC are compared with those obtained from the P&O controller. The comparison shows that the fuzzy logic controller exhibits a much better behavior. |
| format | Article |
| id | doaj-art-12bff18b85f645939641f887e295c39a |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-12bff18b85f645939641f887e295c39a2025-02-03T01:24:17ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2018-01-01201810.1155/2018/18405021840502An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather ConditionsKhaled Bataineh0Department of Mechanical Engineering, Jordan University of Science and Technology, Irbid, JordanThis study is aimed at providing a comparison between fuzzy systems and convectional P&O for tracking MPP of a PV system. MATLAB/Simulink is used to investigate the response of both algorithms. Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) partial shading. Under partial shading on a PV panel, multipeaks appeared in P-V characteristics of the panel. Simulation results showed that a fuzzy controller effectively finds MPP for all weather condition scenarios. Furthermore, simulation results obtained from the FLC are compared with those obtained from the P&O controller. The comparison shows that the fuzzy logic controller exhibits a much better behavior.http://dx.doi.org/10.1155/2018/1840502 |
| spellingShingle | Khaled Bataineh An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions International Journal of Photoenergy |
| title | An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions |
| title_full | An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions |
| title_fullStr | An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions |
| title_full_unstemmed | An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions |
| title_short | An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions |
| title_sort | intelligent maximum power point using a fuzzy log controller under severe weather conditions |
| url | http://dx.doi.org/10.1155/2018/1840502 |
| work_keys_str_mv | AT khaledbataineh anintelligentmaximumpowerpointusingafuzzylogcontrollerundersevereweatherconditions AT khaledbataineh intelligentmaximumpowerpointusingafuzzylogcontrollerundersevereweatherconditions |