2014
DOI: 10.1016/j.renene.2013.10.036
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A novel adaptative maximum power point tracking algorithm for small wind turbines

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Cited by 66 publications
(36 citation statements)
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“…Nevertheless, this technique has many drawbacks such as mechanical stress due to the constant perturbations [82] and permanent fluctuation around the optimal point [66,83], especially with medium and large inertia wind turbine. In [84,85], additional control strategies have been added to a basic P&O algorithm in order to resolve the problems listed above.…”
Section: B) Hill Climbing Searching (Or Perturb and Observe) Techniquementioning
confidence: 99%
“…Nevertheless, this technique has many drawbacks such as mechanical stress due to the constant perturbations [82] and permanent fluctuation around the optimal point [66,83], especially with medium and large inertia wind turbine. In [84,85], additional control strategies have been added to a basic P&O algorithm in order to resolve the problems listed above.…”
Section: B) Hill Climbing Searching (Or Perturb and Observe) Techniquementioning
confidence: 99%
“…By assuming that for a specific wind speed the optimum point is close to the generator nominal point [14], thus, the initial coefficient value of the optimum curve can be expressed as:…”
Section: Initializationmentioning
confidence: 99%
“…and/or in its surrounding environment (air density changes). Consequently, the MPPT controller fails to track the MPP [14].…”
Section: Introductionmentioning
confidence: 99%
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“…In order to achieve the maximum power, the difference between the actual and optimal rotor speed is to be minimized. In [5], a new maximum adaptive algorithm for extraction of optimal power is proposed for small WT. Perturb and absorb scheme is adapted for different wind speed to obtain optimum relationship for regulating the maximum power point.…”
Section: Introductionmentioning
confidence: 99%