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Multivariable control algorithm for laboratory experiments in wind energy conversion
Affiliation:1. Division of Engineering, Saint Mary''s University, Halifax, NS, B3H 3C3, Canada;2. Department of Electrical Engineering, Royal Military College, Kingston, ON, K7K 7B4, Canada;3. Department of Electrical Engineering, University of Nevada, Reno, USA;1. Department of Food Engineering, URI – Campus de Erechim, Av. Sete de Setembro, 1621, Erechim, RS 99700-000, Brazil;2. Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis, CEP 88800-000 Florianópolis, SC, Brazil;3. LASEFI/DEA/FEA (School of Food Engineering)/UNICAMP (University of Campinas), Rua Monteiro Lobato, 80, 13083-862 Campinas, SP, Brazil;4. Federal University of Fronteira Sul, Erechim, Av. Dom João Hoffmann, Erechim 99700-000, Brazil;5. Department of Chemical Engineering, Federal University of Santa Maria, Av. Roraima, 1000, Santa Maria, RS 97105-900, Brazil;1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. School of Natural and Built Environments, University of South Australia, Adelaide 5001, Australia;1. State University of New York at Buffalo, Department of Electrical Engineering, 230 Davis Hall, 14260 Buffalo, NY, USA;2. Universidad Politécnica de Valencia, Institute for Energy Engineering, Camino de Vera, s/n, edificio 8E, escalera F, 5ª planta, 46022 Valencia, Spain
Abstract:Advanced experimentation with wind energy conversion systems is described. The real time multivariable control of a wind turbine is designed for investigation of theoretical concepts and their physical implementation. The control system includes a speed controller and a disturbance estimator for enhanced robustness of the control system. In order to provide students with deeper understanding of wind energy and energy extraction, a maximum power point tracking algorithm is developed and integrated into the control system. The multivariable control system is implemented in a small wind turbine laboratory system. A power electronic interface is based on two DC–DC converters: a buck converter for control of the speed and a boost converter controlling the load voltage. Experimental results demonstrate effectiveness of the multivariable control system for a wind turbine providing maximum power extraction. The experiment can be reconfigured for teaching various control concepts to both undergraduate and graduate students.
Keywords:Multivariable control  Wind turbine  DC generator  Speed control  Maximum power extraction
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