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.jo
Al-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 algorithm

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Published
2023-09-30

Cited by

Aladwan, I. M., Abdelrazzaq AL Dabbas, H., Maqableh, A. M., Fayyad, S. M., Miroshnyk, O., Shchur, T., & Ptashnyk, V. (2023). RESEARCH THE EFFECT OF THE FRACTIONAL NUMBER SLOTS OF POLE ON WIND TURBINE GENERATION USING THE ENHANCED SPOTTED HYENA OPTIMIZATION ALGORITHM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(3), 94–100. https://doi.org/10.35784/iapgos.5328

Authors

Ibrahim M. Aladwan 
Ibrahim.aladwan@bau.edu.jo
Al-Balqa Applied University, Department of Mechatronics Engineering Jordan
http://orcid.org/0000-0002-7305-2413

Authors

Hasan Abdelrazzaq AL Dabbas 

Philadelphia University, Department of Mechanical Engineering Jordan
http://orcid.org/0000-0003-1301-4279

Authors

Ayman. M. Maqableh 

Luminus Technical University College, Electomechanical Engineering Department Jordan
http://orcid.org/0000-0003-1301-4279

Authors

Sayel M. Fayyad 

Al-Balqa Applied University, Department of Mechanical Engineering Jordan
http://orcid.org/0000-0002-7305-2413

Authors

Oleksandr Miroshnyk 

State Biotechnological University, Department of Electricity Supply and Energy Management Ukraine
http://orcid.org/0000-0002-6144-7573

Authors

Taras Shchur 

Cyclone Manufacturing Inc, Mississauga Canada
http://orcid.org/0000-0003-0205-032X

Authors

Vadym Ptashnyk 

Lviv National Environmental University, Department of Information Systems and Technologies Ukraine
http://orcid.org/0000-0002-1018-1138

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