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Wind Generators Test Bench. Optimal Design of PI ControllerTUDORACHE, T. , BOSTAN, V. |
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Author keywords
numerical simulation, optimization, test bench of wind generators
References keywords
control(6), simplex(5), algorithm(5), systems(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 65 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03011
Web of Science Accession Number: 000296186700011
SCOPUS ID: 80055086039
Abstract
This paper proposes a novel and robust strategy for the optimal design of the drive system integrated in a wind generators test bench. The PI regulator coefficients used in control systems are usually computed based on simplified hypotheses and then tuned manually so as the system response meet certain specifications in terms of stability, accuracy and speed. The proposed methodology permits the automatic identification of PI regulator coefficients using intelligent optimization algorithms, the initial guess for the search procedure being determined based on particular simplified hypotheses. The proposed procedure can help the design engineers to drastically reduce the effort for finding the best PI regulator coefficients offering a range of feasible solutions depending on the imposed optimum criteria. The characteristics and performances of the optimization strategy are highlighted by using it for the design of a DC motor drive system used to simulate the wind prime mover integrated in a wind generators test bench. |
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[1] Modeling and Operational Testing of an Isolated Variable Speed PMSG Wind Turbine with Battery Energy Storage, BAROTE, L., MARINESCU, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 12, 2012.
Digital Object Identifier: 10.4316/aece.2012.02014 [CrossRef] [Full text]
[2] Modelling and control of PMSG based WECS: Evaluating the test bench results, Schmidlin, Celso R., de A. Lima, F. Kleber, Branco, C. Gustavo C., Neto, Tobias R. Fernandes, 2016 12th IEEE International Conference on Industry Applications (INDUSCON), ISBN 978-1-5090-5127-4, 2016.
Digital Object Identifier: 10.1109/INDUSCON.2016.7874594 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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