An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency
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 efficie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Mohaghegh Ardabili
2016-06-01
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| Series: | Journal of Operation and Automation in Power Engineering |
| Subjects: | |
| Online Access: | http://joape.uma.ac.ir/article_426_e652af13ec1a0a6d682179f4bcc1c77e.pdf |
| _version_ | 1818603187053002752 |
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| author | Mehdi Bigdeli Davood Azizian Ebrahim Rahimpour |
| author_facet | Mehdi Bigdeli Davood Azizian Ebrahim Rahimpour |
| author_sort | Mehdi Bigdeli |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T13:19:11Z |
| format | Article |
| id | doaj.art-1c22edbee0a349b19f08cca5fbc8b596 |
| institution | Directory Open Access Journal |
| issn | 2322-4576 2423-4567 |
| language | English |
| last_indexed | 2024-12-16T13:19:11Z |
| publishDate | 2016-06-01 |
| publisher | University of Mohaghegh Ardabili |
| record_format | Article |
| series | Journal of Operation and Automation in Power Engineering |
| spelling | doaj.art-1c22edbee0a349b19f08cca5fbc8b5962022-12-21T22:30:23ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672016-06-01418392426An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors EfficiencyMehdi Bigdeli0Davood Azizian1Ebrahim Rahimpour2Islamic Azad UniversityIslamic Azad UniversityABB AG, Power Products DivisionNowadays, 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.http://joape.uma.ac.ir/article_426_e652af13ec1a0a6d682179f4bcc1c77e.pdfEfficiency EstimationImproved Big Bang-Big Crunch (I-BB-BC) AlgorithmInduction MotorMeasurement |
| spellingShingle | Mehdi Bigdeli Davood Azizian Ebrahim Rahimpour An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency Journal of Operation and Automation in Power Engineering Efficiency Estimation Improved Big Bang-Big Crunch (I-BB-BC) Algorithm Induction Motor Measurement |
| title | An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency |
| title_full | An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency |
| title_fullStr | An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency |
| title_full_unstemmed | An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency |
| title_short | An Improved Big Bang-Big Crunch Algorithm for Estimating Three-Phase Induction Motors Efficiency |
| title_sort | improved big bang big crunch algorithm for estimating three phase induction motors efficiency |
| topic | Efficiency Estimation Improved Big Bang-Big Crunch (I-BB-BC) Algorithm Induction Motor Measurement |
| url | http://joape.uma.ac.ir/article_426_e652af13ec1a0a6d682179f4bcc1c77e.pdf |
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