Advanced modelling and control of 5MW wind turbine using global optimization algorithms

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dc.contributor.authorJafari, Soheil
dc.contributor.authorPishkenari, Mohsen Majidi
dc.contributor.authorSohrabi, Shahin
dc.contributor.authorFeizarefi, Morteza
dc.date.accessioned2018-11-02T09:23:01Z
dc.date.available2018-11-02T09:23:01Z
dc.date.issued2018-10-29
dc.description.abstractThis article presents a methodological approach for controller gain tuning of wind turbines using global optimization algorithms. For this purpose, the wind turbine structural and aerodynamic modeling are first described and a complete model for a 5 MW wind turbine is developed as a case study based on a systematic modeling approach. The turbine control requirements are then described and classified using its power curve to generate an appropriate control structure for satisfying all turbine control modes simultaneously. Next, the controller gain tuning procedure is formulated as an engineering optimization problem where the command tracking error and minimum response time are defined as objective function indices and physical limitations (overspeed and oscillatory response) are considered as penalty functions. Taking the nonlinear nature of the turbine model and its controller into account, two meta-heuristic global optimization algorithms (Imperialist Competitive Algorithm and Differential Evolution) are used to deal with the defined objective functions where the mechanism of interaction between the defined problem and the used algorithms are presented in a flowchart feature. The results confirm that the proposed approach is satisfactory and both algorithms are able to achieve the optimized controller for the wind turbine.en_UK
dc.identifier.citationJafari S, Pishkenari MM, Sohrabi S, Feizarefi M. (2019) Advanced modelling and control of 5 MW wind turbine using global optimization algorithms. Wind Engineering, Volume 43, Issue 5, October 2019, pp. 488-505en_UK
dc.identifier.issn0309-524X
dc.identifier.urihttps://doi.org/10.1177/0309524X18807471
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13607
dc.language.isoenen_UK
dc.publisherSAGEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectWind turbineen_UK
dc.subjectcontroller gain tuningen_UK
dc.subjectoptimizationen_UK
dc.subjectmeta-heuristicsen_UK
dc.subjectImperialist Competitive Algorithmen_UK
dc.subjectDifferential Evolutionen_UK
dc.titleAdvanced modelling and control of 5MW wind turbine using global optimization algorithmsen_UK
dc.typeArticleen_UK

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