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All Journal JAREE (Journal on Advanced Research in Electrical Engineering)
Asrat Mulatu
Center of Excellence for Sustainable Energy College of Electrical and Mechanical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
Control & Systems Engineering Electrical & Electronics Engineering

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Improving Power Harvesting Ability of Variable Speed Wind Turbine using Intelligent Soft Computing Technique Endalew Ayenew; Getachew Biru; Asrat Mulatu; Milkias Berhanu
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 1 (2021): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i1.186

Abstract

This paper presents a study carried out on maximizing energy harvesting of wind turbines. One way of improving the output power of the wind turbines is by optimizing the power conversion coefficient. The power conversion coefficient factor is expressed as a function of the wind turbine blade tip speed ratio and the turbine blade pitch angle. Optimization of the wind turbine generator output power is done by considering the effects of variations of wind speed, blade tip speed ratio, and pitch angle. An intelligent soft computing technique known as an adaptive neuro-fuzzy inference system (ANFIS) with a fuzzy logic controller for blade pitch actuator was applied to optimize the generator output power. The simulation result showed that the power conversion coefficient of 0.513 is achieved. The study was verified by using real-time wind speed data of Adama II wind farm in Ethiopia and specifications of the Gamesa G80 horizontal axis wind turbine generator unit by MATLAB software. Accordingly, a promising and satisfying improvement in power harvesting capacity is obtained. The output power of this generator is improved by 9.47% which is by far better result as compared to the existing literature.Keywords: optimization tool, pitch angle, tip speed ratio, wind energy conversion coefficient.
Co-Authors Endalew Ayenew Getachew Biru Milkias Berhanu