Abstract
Modeling and optimization of the wind turbine for better power and performance have become the demand in the development of renewable energy. Power coefficient (Cp) is an important parameter which determines the efficiency of the wind turbine and it depends on the velocity of the wind, blade pitch angle, and tip speed ratio of the turbine. Selection of the appropriate value of these parameters while designing a wind turbine will provide the optimum value of coefficient of performance. In this paper, the optimum value of the power coefficient is obtained by using the genetic algorithm optimization technique. The optimum value of the power coefficient is found to be 0.46 which is increased by 0.05 than that of the value obtained from blade element momentum theory.
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Poudel, P., Kumar, R., Narain, V., Jain, S.C. (2022). Power Optimization of a Wind Turbine Using Genetic Algorithm. In: Kumar, R., Chauhan, V.S., Talha, M., Pathak, H. (eds) Machines, Mechanism and Robotics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0550-5_171
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DOI: https://doi.org/10.1007/978-981-16-0550-5_171
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