صرفه‌جویی در مصرف انرژی با جایگزینی به‌موقع موتور القایی سه فاز به کمک تخمین دقیق بازده آن توسط الگوریتم زنبورعسل اصلاح‌شده
محورهای موضوعی : انرژی های تجدیدپذیر
مهدی بیگدلی
1
(استادیار - گروه مهندسی برق، واحد زنجان، دانشگاه آزاد اسلامی، زنجان، ایران)
داود عزیزیان
2
(استادیار - گروه مهندسی برق، واحد ابهر، دانشگاه آزاد اسلامی، ابهر، ایران)
محمد جمادی
3
(کارشناس ارشد - گروه مهندسی برق، واحد زنجان، دانشگاه آزاد اسلامی، زنجان، ایران)
کلید واژه: موتور القایی, اندازه‌گیری, الگوریتم زنبورعسل اصلاح‌شده, تخمین بازده, صرفه‌جویی در مصرف انرژی,
چکیده مقاله :
امروزه بیش‌ترین میزان مصرف انرژی در صنعت مربوط به موتورهای القایی است. بنابراین تعیین بازده موتورهای القایی به‌منظور انجام اقدامات پیشگیرانه، عملیات تعمیر و نگهداری و درنهایت جایگزینی آن‌ها با موتورهای راندمان بالا از اهمیت ویژه‌ای برخوردار است. این مقاله روشی کارآمد مبتنی بر الگوریتم زنبورعسل اصلاح‌شده برای تخمین بازده موتور القایی ارائه می‌کند. مهم‌ترین مزیت روش ارائه‌شده، تعیین راندمان موتور القایی بدون انجام هرگونه آزمایش تهاجمی است و یک روش بدون مزاحمت و با دقت بالا را ارائه می‌دهد. برای اثبات قابلیت‌های روش پیشنهادی، نتایج آن با سایر الگوریتم‌های بهینه‌سازی هوشمند مقایسه شده‌اند. پس از تخمین راندمان، یکی از کاربردهای مهم تخمین راندمان که جایگزینی موتور راندمان بالا به جای موتور راندمان معمولی می‌باشد، تشریح و در مورد میزان صرفه‌جویی در مصرف انرژی به واسطه دانستن راندمان موتور القایی، بحث می‌شود. نتایج حاصل از محاسبه میزان صرفه‌جویی انرژی نشان می‌دهد که در صورت جایگزینی موتور استاندارد در حال کار با یک موتور پربازده، صرفه‌جویی قابل توجهی در مصرف انرژی صورت خواهد گرفت.
Today, most energy consumption in industry is related to induction motors. Evaluation of induction motor’s efficiency is an important issue for life estimation, extend the life and energy saving managements. Using the estimated efficiency of the induction motor, its performance can be judged and replacing the existing low efficiency motor by a high efficiency motor could be decided. In this paper, a novel and efficient method based on Modified Artificial Bee Colony (MABC) Algorithm is presented for efficiency estimation in the induction motors. The main advantage of the proposed method is efficiency evaluation of induction motor without any intrusive test. In order to demonstrate the capabilities of the proposed method, a comparison with other intelligent optimization algorithms is performed. Then, one of the important applications of efficiency estimation, which replaces the high efficiency induction motors instead of conventional motors, is discussed. The results of the calculation of energy savings show that if a standard motor is replaced with a high efficiency motor, energy savings will be significant.
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