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A New Pitch Angle Control Method of Wind Turbine Generators Based on Feedforward Wind Speed Information
University of Information Technology and Communications, College of Engineering, Baghdad, Iraq.
University of Information Technology and Communications, College of Engineering, Baghdad, Iraq.ORCID iD: 0000-0002-6894-7896
2019 (English)In: 2019 The 2nd International Conference on Renewable Energy and Environment Engineering (REEE 2019) / [ed] N. Caetano, EDP Sciences, 2019, article id 04001Conference paper, Published paper (Refereed)
Abstract [en]

In this work, a new strategy to control the pitch angle of wind turbine generator is proposed. The strategy is based on designing an intelligent control system capable of maintaining a stable minimum fluctuating power generation. This can be achieved by providing the wind speed information to the controller in advance and hence allowing the controller to take the optimum action in controlling the blade pitch angle. A model based optimizer uses Model Predictive Control (MPC) technique to predict the wind turbine generator future behaviour and select the optimal control actions assisted by the wind speed information while satisfying the power generation constraints. The simulation results show that a significant improvement can be made using the proposed control method.

Place, publisher, year, edition, pages
EDP Sciences, 2019. article id 04001
Series
E3S Web of Conferences, E-ISSN 2267-1242 ; 122
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-83135DOI: 10.1051/e3sconf/201912204001Scopus ID: 2-s2.0-85073774729OAI: oai:DiVA.org:ltu-83135DiVA, id: diva2:1532682
Conference
2nd International Conference on Renewable Energy and Environment Engineering (REEE 2019), Munich, Germany, August 19-22, 2019
Available from: 2021-03-02 Created: 2021-03-02 Last updated: 2021-03-08Bibliographically approved

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Nayl, Thaker

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