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an improved big bang-big crunch algorithm for estimating three-phase induction motors efficiency
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نویسنده
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bigdeli mehdi ,azizian davood ,rahimpour ebrahim
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منبع
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journal of operation and automation in power engineering - 2016 - دوره : 4 - شماره : 1 - صفحه:83 -92
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چکیده
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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.
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کلیدواژه
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efficiency estimation ,improved big bang-big crunch (ibbbc) algorithm ,induction motor ,measurement
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آدرس
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islamic azad university, zanjan branch, department of electrical engineering,, ایران, islamic azad university, abhar branch, department of electrical engineering, ایران, abb ag, power products division, germany
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پست الکترونیکی
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ebrahim.rahimpour@de.abb.com
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برنامه ریزی واحدهای پاک و آلاینده تولید پراکنده در شرایط تصادفی قیمت و عدم قطعیت واحدهای تولید پراکنده
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Authors
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