Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system
Photovoltaic system has nonlinear characteristics that are affected by the environmental conditions. The photovoltaic voltage and current have nonlinear changes with the variations of irradiation and temperature. These continuous changes of photovoltaic voltage and current prevent the solar model fr...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2015
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/77135/1/saes2015-8.pdf |
| _version_ | 1796980234539499520 |
|---|---|
| author | Alhamdawee, Ehsan Mohsin Obaid Mailah, Nashiren Farzilah Mohd Radzi, Mohd Amran Shafie, Suhaidi |
| author_facet | Alhamdawee, Ehsan Mohsin Obaid Mailah, Nashiren Farzilah Mohd Radzi, Mohd Amran Shafie, Suhaidi |
| author_sort | Alhamdawee, Ehsan Mohsin Obaid |
| collection | UPM |
| description | Photovoltaic system has nonlinear characteristics that are affected by the environmental conditions. The photovoltaic voltage and current have nonlinear changes with the variations of irradiation and temperature. These continuous changes of photovoltaic voltage and current prevent the solar model from working at maximum power efficiently. Thus, the situation imposes the use of techniques that enables the solar system to work at its maximum power. The conventional techniques such as perturb and observe (P&O) has some drawbacks such as continuous oscillation around the maximum power point (MPP), slow convergence toward the maximum power point at steady state conditions and wrong tracking decisions at low irradiance levels. This paper presents a fuzzy logic controller (FLC) that eliminates or reduces the drawbacks of the conventional technique in terms of oscillation, minimum time to reach maximum power point and stability. |
| first_indexed | 2024-03-06T10:20:04Z |
| format | Conference or Workshop Item |
| id | upm.eprints-77135 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:20:04Z |
| publishDate | 2015 |
| publisher | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | upm.eprints-771352020-03-03T10:44:07Z http://psasir.upm.edu.my/id/eprint/77135/ Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system Alhamdawee, Ehsan Mohsin Obaid Mailah, Nashiren Farzilah Mohd Radzi, Mohd Amran Shafie, Suhaidi Photovoltaic system has nonlinear characteristics that are affected by the environmental conditions. The photovoltaic voltage and current have nonlinear changes with the variations of irradiation and temperature. These continuous changes of photovoltaic voltage and current prevent the solar model from working at maximum power efficiently. Thus, the situation imposes the use of techniques that enables the solar system to work at its maximum power. The conventional techniques such as perturb and observe (P&O) has some drawbacks such as continuous oscillation around the maximum power point (MPP), slow convergence toward the maximum power point at steady state conditions and wrong tracking decisions at low irradiance levels. This paper presents a fuzzy logic controller (FLC) that eliminates or reduces the drawbacks of the conventional technique in terms of oscillation, minimum time to reach maximum power point and stability. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/77135/1/saes2015-8.pdf Alhamdawee, Ehsan Mohsin Obaid and Mailah, Nashiren Farzilah and Mohd Radzi, Mohd Amran and Shafie, Suhaidi (2015) Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 19-20). |
| spellingShingle | Alhamdawee, Ehsan Mohsin Obaid Mailah, Nashiren Farzilah Mohd Radzi, Mohd Amran Shafie, Suhaidi Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title | Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title_full | Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title_fullStr | Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title_full_unstemmed | Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title_short | Development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| title_sort | development of fuzzy logic controller for maximum power point tracking technique of photovoltaic system |
| url | http://psasir.upm.edu.my/id/eprint/77135/1/saes2015-8.pdf |
| work_keys_str_mv | AT alhamdaweeehsanmohsinobaid developmentoffuzzylogiccontrollerformaximumpowerpointtrackingtechniqueofphotovoltaicsystem AT mailahnashirenfarzilah developmentoffuzzylogiccontrollerformaximumpowerpointtrackingtechniqueofphotovoltaicsystem AT mohdradzimohdamran developmentoffuzzylogiccontrollerformaximumpowerpointtrackingtechniqueofphotovoltaicsystem AT shafiesuhaidi developmentoffuzzylogiccontrollerformaximumpowerpointtrackingtechniqueofphotovoltaicsystem |