Abdullah, M.A. and Yatim, A.H.M. and Tan, C.W.A. and Saidur, Rahman (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, DOI https://doi.org/10.1016/j.rser.2012.02.016.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | 959YN Times Cited:2 Cited References Count:63 |
| Uncontrolled Keywords: | Boost converter, MPPT, PMSG, Wind energy, Energy yields, Maximum Power Point Tracking, Maximum Power Point Tracking algorithms, Optimal torque control, Speed response, State of the art, Step size, Techniques used, Wind energy systems, Wind speed, Algorithms, Optimization, Wind power. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr Jenal S |
| Date Deposited: | 03 Jul 2013 04:09 |
| Last Modified: | 08 Nov 2019 09:05 |
| URI: | http://eprints.um.edu.my/id/eprint/6598 |
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