یک طرح بهینه جهت هماهنگی بازیابی بار و کاهش زاویه فاز ایستا با استفاده از الگوریتم TLBO

محورهای موضوعی : مهندسی برق قدرت

هادی حسین پور ¹ , محمد رضا اسماعیلی ² , امین خدابخشیان ³

1 - دانشکده مهندسی برق، دانشگاه اصفهان، اصفهان، ایران
2 - شرکت برق منطقه‌ای اصفهان، اصفهان، ایران
3 - دانشکده مهندسی برق، دانشگاه اصفهان، اصفهان، ایران

تاریخ دریافت : 1400/12/29 تاریخ پذیرش : 1401/03/25 تاریخ انتشار : 1401/03/01

کلید واژه: انرژی تامین نشده, زاویه فاز ایستا, بازیابی سیستم قدرت, بازیابی بار,

چکیده مقاله :

علیرغم وجود کلیه تجهیزات کنترلی و حفاظتی در یک سیستم قدرت، احتمال وقوع یک خاموشی امری اجتناب ناپذیر است. بنابراین، فرآیند بازیابی یکی از مهمترین دغدغه‌های بهره برداران سیستم است تا بتوانند در کمترین زمان ممکن خسارات ناشی از آن را کاهش دهند. در فرآیند بازیابی موازی ابتدا جزایر مورد نظر تشکیل شده و سپس بار هر جزیره به طور جداگانه و بصورت همزمان بازیابی می‌شود. در مرحله بعد، جزایر تشکیل شده با رعایت حداقل مقدار زاویه فاز ایستا با یکدیگر سنکرون شوند. برای انجام این کار، یک طرح چند هدفه بهینه در این مقاله تعریف شده است تا مسائل بازیابی بار و کاهش SPA را به طور هماهنگ بهینه سازی نماید. توابع هدف مدل پیشنهادی شامل به حداقل رساندن زاویه فاز ایستا و به حداقل رساندن انرژی تامین نشده است که با در نظر گرفتن محدودیت‌های مورد نظر بهینه می‌شوند. در این راستا از الگوریتم بهینه سازی آموزش و یادگیری (TLBO) به عنوان تکنیک پیشنهادی استفاده شده و با برخی از الگوریتم‌های هوشمند مقایسه شده است. شبیه‌سازی‌ها با ایجاد ارتباط بین دو نرم‌افزار MATLAB و DIGSILENT انجام می‌شود. نتایج به‌دست ‌آمده نشان‌دهنده کارایی مدل پیشنهادی برای دستیابی به اهداف ذکر شده است.

چکیده انگلیسی:

One of the most important concerns for power system operators is how to execute the restoration process after having a blackout. In doing so, the parallel restoration is the most common method in which the desired islands are first formed and then the load of each section is restored separately at the same time. In the next step, the islands must be synchronized with having a minimum standing phase angle (SPA) between them. To do this, an optimal multi-objective scheme is defined in this paper in order to coordinate both load restoration and SPA reduction problems. The objective functions of the proposed model are the minimization of the static phase angle and the energy not supplied in which the desired constraints are also considered. For optimization process the teaching and learning optimization algorithm (TLBO) is used as a proposed technique and compared with some other intelligent algorithms. The simulations are performed by creating a connection between MATLAB software and DIGSILENT. The results obtained on the IEEE 39-bus power system show the efficiency of the proposed model.

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