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An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency

عنوان مقاله: An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency
شناسه ملی مقاله: JR_JOAPE-4-1_007
منتشر شده در در سال 1395
مشخصات نویسندگان مقاله:

Mehdi Bigdeli - Islamic Azad University
Davood Azizian - Islamic Azad University
Ebrahim Rahimpour - ABB AG, Power Products Division

خلاصه مقاله:
Nowadays, the most generated electrical energy is consumed by three-phase induction motors. Thus, in order to carry out preventive measurements and maintenances and eventually employing high-efficiency motors, the efficiency evaluation of induction motors is vital. In this paper, a novel and efficient method based on Improved Big Bang-Big Crunch (I-BB-BC) Algorithm is presented for efficiency estimation in the induction motors. In order to estimate the induction motor’s efficiency, the measured current, the power factor and the input power are applied to the proposed method and an appropriate objective function is presented. The main advantage of the proposed method is efficiency evaluation of induction motor without any intrusive test. Moreover, a new effective and improved version of BB-BC algorithm is introduced. The presented modifications can improve the accuracy and speed of the classic version of algorithm. In order to demonstrate the capabilities of the proposed method, a comparison with other traditional methods and intelligent optimization algorithms is performed.

کلمات کلیدی:
Efficiency Estimation, Improved Big Bang-Big Crunch (I-BB-BC) Algorithm, Induction Motor, Measurement

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1811209/