Title | ||
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Adaptive maximum power point tracking algorithm for variable speed wind power systems |
Abstract | ||
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This paper proposes an adaptive maximum wind power extraction algorithm for variable speed wind power generation systems. The proposed control algorithm is analyzed with the air density effects on the maximum power point tracking (MPPT) method, which is based on the conventional hill climb searching (HCS). To implement this algorithm, the memory features and the initial tip speed ratio (TSR) are taken into account. The control scheme is performed in three separate operation steps according to the power curve of a generator to improve the tracking performance. The feasibility and effectiveness of the proposed MPPT strategy have been verified through simulations and experimental results. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-15621-2_42 | LSMS/ICSEE (1) |
Keywords | Field | DocType |
variable speed wind power,adaptive maximum power point,maximum power point tracking,proposed control algorithm,extraction algorithm,adaptive maximum wind power,tracking performance,power curve,control scheme,proposed mppt strategy,initial tip speed ratio,tracking algorithm,hill climbing,wind power,permanent magnet synchronous generator | Tip-speed ratio,Control theory,Maximum power point tracking,Engineering,Maximum power point tracking algorithm,Power optimizer,Power law,Climb,Wind power,Density of air | Conference |
Volume | ISSN | ISBN |
6328 | 0302-9743 | 3-642-15620-7 |
Citations | PageRank | References |
3 | 0.97 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Moo-Kyoung Hong | 1 | 3 | 0.97 |
Hong-Hee Lee | 2 | 363 | 42.82 |