RESEARCH THE EFFECT OF THE FRACTIONAL NUMBER SLOTS OF POLE ON WIND TURBINE GENERATION USING THE ENHANCED SPOTTED HYENA OPTIMIZATION ALGORITHM
Ibrahim M. Aladwan
Ibrahim.aladwan@bau.edu.joAl-Balqa Applied University, Department of Mechatronics Engineering (Jordan)
http://orcid.org/0000-0002-7305-2413
Hasan Abdelrazzaq AL Dabbas
Philadelphia University, Department of Mechanical Engineering (Jordan)
http://orcid.org/0000-0003-1301-4279
Ayman. M. Maqableh
Luminus Technical University College, Electomechanical Engineering Department (Jordan)
http://orcid.org/0000-0003-1301-4279
Sayel M. Fayyad
Al-Balqa Applied University, Department of Mechanical Engineering (Jordan)
http://orcid.org/0000-0002-7305-2413
Oleksandr Miroshnyk
State Biotechnological University, Department of Electricity Supply and Energy Management (Ukraine)
http://orcid.org/0000-0002-6144-7573
Taras Shchur
Cyclone Manufacturing Inc, Mississauga (Canada)
http://orcid.org/0000-0003-0205-032X
Vadym Ptashnyk
Lviv National Environmental University, Department of Information Systems and Technologies (Ukraine)
http://orcid.org/0000-0002-1018-1138
Abstract
The design of machines with permanent magnets is actively developing day by day and is often used in wind energy. The main advantages of such variable speed drives are high efficiency, high power density and torque density. When designing a wind generator with two rotors and permanent magnets, it is necessary to solve such a problem as the correct choice of the number of poles and slots to increase efficiency and minimize the cost of the machine. In this work, an improved spotted hyena optimization algorithm is used to obtain the optimal combination of slots and poles. This optimization algorithm makes it possible to obtain the number of fractional slots per pole and evaluate the operating efficiency of a wind generator with a double rotor and ferrite magnets. At the first stage of machine design, various combinations of slots are installed. Next, the optimal combination is selected from various slot-pole combinations, taking into account the Enhanced Spotted Hyena Optimization (ESHO) algorithm, in which a multi-objective function is configured. Accordingly, the multi-objectives are the integration of reverse electromotive force, output torque, gear torque, flux linkage, torque ripple along with losses. Analysis of the results obtained shows that the proposed algorithm for determining the optimal slot combination is more efficient than other slot combinations. It has also been found that the choice of slot and pole combination is critical to the efficient operation of permanent magnet machines.
Keywords:
wind turbine generation, optimal slot, pole, ESHO algorithmReferences
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Authors
Ibrahim M. AladwanIbrahim.aladwan@bau.edu.jo
Al-Balqa Applied University, Department of Mechatronics Engineering Jordan
http://orcid.org/0000-0002-7305-2413
Authors
Hasan Abdelrazzaq AL DabbasPhiladelphia University, Department of Mechanical Engineering Jordan
http://orcid.org/0000-0003-1301-4279
Authors
Ayman. M. MaqablehLuminus Technical University College, Electomechanical Engineering Department Jordan
http://orcid.org/0000-0003-1301-4279
Authors
Sayel M. FayyadAl-Balqa Applied University, Department of Mechanical Engineering Jordan
http://orcid.org/0000-0002-7305-2413
Authors
Oleksandr MiroshnykState Biotechnological University, Department of Electricity Supply and Energy Management Ukraine
http://orcid.org/0000-0002-6144-7573
Authors
Taras ShchurCyclone Manufacturing Inc, Mississauga Canada
http://orcid.org/0000-0003-0205-032X
Authors
Vadym PtashnykLviv National Environmental University, Department of Information Systems and Technologies Ukraine
http://orcid.org/0000-0002-1018-1138
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