Comparative evaluation of photovoltaic MPP trackers: A simulated approach
This paper makes a comparative assessment of three popular maximum power point tracking (MPPT) algorithms used in photovoltaic power generation. A 120 Wp PV module is taken as reference for the study that is connected to a suitable resistive load by a boost converter. Two profiles of variation of so...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2016-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2015.1137206 |
| _version_ | 1797722277697028096 |
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| author | Barnam Jyoti Saharia Munish Manas Bani Kanta Talukdar |
| author_facet | Barnam Jyoti Saharia Munish Manas Bani Kanta Talukdar |
| author_sort | Barnam Jyoti Saharia |
| collection | DOAJ |
| description | This paper makes a comparative assessment of three popular maximum power point tracking (MPPT) algorithms used in photovoltaic power generation. A 120 Wp PV module is taken as reference for the study that is connected to a suitable resistive load by a boost converter. Two profiles of variation of solar insolation at fixed temperature and varying temperature at fixed solar insolation are taken to test the tracking efficiency of three MPPT algorithms based on the perturb and observe (P&O), Fuzzy logic, and Neural Network techniques. MATLAB/SIMULINK simulation software is used for assessment, and the results indicate that the fuzzy logic-based tracker presents better tracking effectiveness to variations in both solar insolation and temperature profiles when compared to P&O technique and Neural Network-based technique. |
| first_indexed | 2024-03-12T09:45:14Z |
| format | Article |
| id | doaj.art-99207a1995ca462e9a5096cdf99b7f78 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T09:45:14Z |
| publishDate | 2016-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-99207a1995ca462e9a5096cdf99b7f782023-09-02T12:56:09ZengTaylor & Francis GroupCogent Engineering2331-19162016-12-013110.1080/23311916.2015.11372061137206Comparative evaluation of photovoltaic MPP trackers: A simulated approachBarnam Jyoti Saharia0Munish Manas1Bani Kanta Talukdar2Tezpur UniversityTezpur UniversityAssam Engineering CollegeThis paper makes a comparative assessment of three popular maximum power point tracking (MPPT) algorithms used in photovoltaic power generation. A 120 Wp PV module is taken as reference for the study that is connected to a suitable resistive load by a boost converter. Two profiles of variation of solar insolation at fixed temperature and varying temperature at fixed solar insolation are taken to test the tracking efficiency of three MPPT algorithms based on the perturb and observe (P&O), Fuzzy logic, and Neural Network techniques. MATLAB/SIMULINK simulation software is used for assessment, and the results indicate that the fuzzy logic-based tracker presents better tracking effectiveness to variations in both solar insolation and temperature profiles when compared to P&O technique and Neural Network-based technique.http://dx.doi.org/10.1080/23311916.2015.1137206pvboost converterperturb and observefuzzy logicneural networkstracking factor |
| spellingShingle | Barnam Jyoti Saharia Munish Manas Bani Kanta Talukdar Comparative evaluation of photovoltaic MPP trackers: A simulated approach Cogent Engineering pv boost converter perturb and observe fuzzy logic neural networks tracking factor |
| title | Comparative evaluation of photovoltaic MPP trackers: A simulated approach |
| title_full | Comparative evaluation of photovoltaic MPP trackers: A simulated approach |
| title_fullStr | Comparative evaluation of photovoltaic MPP trackers: A simulated approach |
| title_full_unstemmed | Comparative evaluation of photovoltaic MPP trackers: A simulated approach |
| title_short | Comparative evaluation of photovoltaic MPP trackers: A simulated approach |
| title_sort | comparative evaluation of photovoltaic mpp trackers a simulated approach |
| topic | pv boost converter perturb and observe fuzzy logic neural networks tracking factor |
| url | http://dx.doi.org/10.1080/23311916.2015.1137206 |
| work_keys_str_mv | AT barnamjyotisaharia comparativeevaluationofphotovoltaicmpptrackersasimulatedapproach AT munishmanas comparativeevaluationofphotovoltaicmpptrackersasimulatedapproach AT banikantatalukdar comparativeevaluationofphotovoltaicmpptrackersasimulatedapproach |