Optimal power factor of synchronous motors in operating conditions

Determining the optimal value of the power factor of synchronous motors in changing operating conditions is a problem of the present day. The main directions of modern research on the subject are based on the application of Fuzzy Logic, Particle Swarm Optimization and artificial neural networks. The...

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Bibliographic Details
Published in2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) pp. 1 - 4
Main Author Hassan, Mehmed Kadir
Format Conference Proceeding
LanguageEnglish
Published IEEE 30.06.2022
Subjects
Artificial neural networks
Fuzzy logic
mathematical model Introduction (Heading 1)
Mathematical models
optimal power factor
Particle swarm optimization
Reactive power
Software
synchronous motor
Synchronous motors
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Summary:Determining the optimal value of the power factor of synchronous motors in changing operating conditions is a problem of the present day. The main directions of modern research on the subject are based on the application of Fuzzy Logic, Particle Swarm Optimization and artificial neural networks. The paper presents a built up mathematical model for defining the optimal value of the power factor of synchronous motors by applying the mathematical theory of experimental design. The independent variables, influencing the evaluated parameter are selected. An adequate mathematical model has been obtained, by means of which the optimal value of the power factor of synchronous motors in operating conditions is found. The developed mathematical model is convenient for practical use and no specialized software is needed for its application.
DOI:10.1109/EEAE53789.2022.9831363