A review of maximum power point tracking algorithms for wind energy systems
This paper reviews state of the art maximum power point tracking (MPPT) algorithms for wind energy systems. Due to the instantaneous changing nature of the wind, it is desirable to determine the one optimal generator speed that ensures maximum energy yield. Therefore, it is essential to include a co...
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| Format: | Article |
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2012
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| author | Abdullah, Majid A. Mohamed Yatim, Abdul Halim Tan, Chee Wei Rahman, Saidur |
| author_facet | Abdullah, Majid A. Mohamed Yatim, Abdul Halim Tan, Chee Wei Rahman, Saidur |
| author_sort | Abdullah, Majid A. |
| collection | ePrints |
| description | This paper reviews state of the art maximum power point tracking (MPPT) algorithms for wind energy systems. Due to the instantaneous changing nature of the wind, it is desirable to determine the one optimal generator speed that ensures maximum energy yield. Therefore, it is essential to include a controller that can track the maximum peak regardless of wind speed. The available MPPT algorithms can be classified as either with or without sensors, as well as according to the techniques used to locate the maximum peak. A comparison has been made between the performance of different MPPT algorithms on the basis of various speed responses and ability to achieve the maximum energy yield. Based on simulation results available in the literature, the optimal torque control (OTC) has been found to be the best MPPT method for wind energy systems due to its simplicity. On the other hand, the perturbation and observation (P&O) method is flexible and simple in implementation, but is less efficient and has difficulties determining the optimum step-size. |
| first_indexed | 2024-03-05T19:20:17Z |
| format | Article |
| id | utm.eprints-46525 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:20:17Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | utm.eprints-465252017-09-12T07:27:38Z http://eprints.utm.my/46525/ A review of maximum power point tracking algorithms for wind energy systems Abdullah, Majid A. Mohamed Yatim, Abdul Halim Tan, Chee Wei Rahman, Saidur TJ Mechanical engineering and machinery This paper reviews state of the art maximum power point tracking (MPPT) algorithms for wind energy systems. Due to the instantaneous changing nature of the wind, it is desirable to determine the one optimal generator speed that ensures maximum energy yield. Therefore, it is essential to include a controller that can track the maximum peak regardless of wind speed. The available MPPT algorithms can be classified as either with or without sensors, as well as according to the techniques used to locate the maximum peak. A comparison has been made between the performance of different MPPT algorithms on the basis of various speed responses and ability to achieve the maximum energy yield. Based on simulation results available in the literature, the optimal torque control (OTC) has been found to be the best MPPT method for wind energy systems due to its simplicity. On the other hand, the perturbation and observation (P&O) method is flexible and simple in implementation, but is less efficient and has difficulties determining the optimum step-size. 2012 Article PeerReviewed Abdullah, Majid A. and Mohamed Yatim, Abdul Halim and Tan, Chee Wei and Rahman, Saidur (2012) A review of maximum power point tracking algorithms for wind energy systems. Renewable And Sustainable Energy Reviews, 16 (5). pp. 3220-3227. ISSN 1364-0321 https://dx.doi.org/10.1016/j.rser.2012.02.016 |
| spellingShingle | TJ Mechanical engineering and machinery Abdullah, Majid A. Mohamed Yatim, Abdul Halim Tan, Chee Wei Rahman, Saidur A review of maximum power point tracking algorithms for wind energy systems |
| title | A review of maximum power point tracking algorithms for wind energy systems |
| title_full | A review of maximum power point tracking algorithms for wind energy systems |
| title_fullStr | A review of maximum power point tracking algorithms for wind energy systems |
| title_full_unstemmed | A review of maximum power point tracking algorithms for wind energy systems |
| title_short | A review of maximum power point tracking algorithms for wind energy systems |
| title_sort | review of maximum power point tracking algorithms for wind energy systems |
| topic | TJ Mechanical engineering and machinery |
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