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Predictive control of wind turbines in small power systems at high turbulent wind speeds

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dc.contributor.author Nanayakkara, N
dc.contributor.author Nakamura, M
dc.contributor.author Hatazaki, H
dc.date.accessioned 2023-02-07T09:37:38Z
dc.date.available 2023-02-07T09:37:38Z
dc.date.issued 1997
dc.identifier.citation Nanayakkara, N., Nakamura, M., & Hatazaki, H. (1997). Predictive control of wind turbines in small power systems at high turbulent wind speeds. Control Engineering Practice, 5(8), 1063–1069. https://doi.org/10.1016/S0967-0661(97)00097-X en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20401
dc.description.abstract This paper proposes a pitch-control technique for grid-connected wind turbines in a small power system with low sywtem inertia. Wind turbines in such a power system give rise to poor quality of power and low system reliability. The proposed pitch controller incorporates the predicted effective wind speed for power generation to have minimum effects on the power system while producing oprimum wind-generated power. Gain-scheduling is done to compensate for non-linearities of the wind turbine characteristics, and the control region has been divided into three sectors, taking on the assigned constraints of the maximum allowable system frequency fluctuations and the power limit of wind turbines. Simulation studies to test the control performance are based on the autonomous small wind-diesel power system on Koshikijima island, Japan. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Wind prediction en_US
dc.subject Pitch control en_US
dc.subject Small power systems en_US
dc.subject Frequency control en_US
dc.subject Grid connected en_US
dc.subject Wind turbines en_US
dc.title Predictive control of wind turbines in small power systems at high turbulent wind speeds en_US
dc.type Article-Full-text en_US
dc.identifier.year 1997 en_US
dc.identifier.journal Control Engineering Practice en_US
dc.identifier.issue 8 en_US
dc.identifier.volume 5 en_US
dc.identifier.database ScienceDirect en_US
dc.identifier.pgnos 1063-1069 en_US
dc.identifier.doi https://doi.org/10.1016/S0967-0661(97)00097-X en_US


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