Volume 6, Issue 2, March 2017, Page: 7-15
Optimal Power Planning of Wind Turbines in a Wind Farm
Puneet Vishwakarma, Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, USA
Yunjun Xu, Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, USA
Kuo-Chi Lin, Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, USA
Received: Dec. 5, 2016;       Accepted: Mar. 21, 2017;       Published: Apr. 14, 2017
DOI: 10.11648/j.epes.20170602.11      View  1656      Downloads  139
Abstract
Wind energy is attractive in the presence of climate concerns and has the potential to dramatically reduce the dependency on nonrenewable energy resources. With the increase in wind farms there is a need to improve the efficiency in power allocation and power generation among wind turbines. In this paper, a hierarchical algorithm including a cooperative level and an individual level is developed for power coordination and planning in a wind farm. In the cooperative level, a constrained quadratic programming problem is formulated and solved to allocate the power to wind turbines considering the aerodynamic effects of wake interaction and the power generation capabilities of wind turbines. In the individual level, a method based on the local pursuit strategy is studied to connect the cooperative level power allocation and the individual level power generation using a virtual leader-follower scheme. The stability of individual wind turbine power generation is analyzed. Simulations are used to show the advantages of the method.
Keywords
Wind Turbine, Coordinated Control, Wind Farm
To cite this article
Puneet Vishwakarma, Yunjun Xu, Kuo-Chi Lin, Optimal Power Planning of Wind Turbines in a Wind Farm, American Journal of Electrical Power and Energy Systems. Vol. 6, No. 2, 2017, pp. 7-15. doi: 10.11648/j.epes.20170602.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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