Research Article
Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines
@INPROCEEDINGS{10.1007/978-3-030-80621-7_25, author={Abrham Tadesse and Endalew Ayenew and L. N. K. Venkata}, title={Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines}, proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part I}, proceedings_a={ICAST}, year={2021}, month={7}, keywords={Wind turbine Permanent magnet synchronous generator MPPT Direct adaptive fuzzy proportional integral}, doi={10.1007/978-3-030-80621-7_25} }- Abrham Tadesse
Endalew Ayenew
L. N. K. Venkata
Year: 2021
Direct Adaptive Fuzzy PI Strategy for a Smooth MPPT of Variable Speed Wind Turbines
ICAST
Springer
DOI: 10.1007/978-3-030-80621-7_25
Abstract
For this generation, life is too complex without sufficient energy. Due to the increase demand of energy from time to time, several researchers are too eager on renewable energy sources to have good enough, clean and greenhouse effect free energy. Thanks to its cost effectiveness, wind power is the primary focus of professionals on energy area and it is the fastest rising energy source. Adaptive fuzzy proportional integral (AFPI) is proposed here to keep a maximum power of a wind turbine (WT). From various methods of maximum power point tracking (MPPT), tip speed ratio (TSR) is selected here. TSR has the ability to retrieve the optimum desired speed of the generator for every wind speed value. For a WTs, a 1.5 MW permanent magnet synchronous generator (PMSG) is chosen because of its self- excitation property that enables high power factor and efficiency operation. The system efficiency is verified by MATLAB software. After all, the final result with proposed strategy display better performance than the outcome with conventional controller.
