کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6894109 700138 2016 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Load frequency control of large scale power system using quasi-oppositional grey wolf optimization algorithm
ترجمه فارسی عنوان
کنترل بار فرکانس بار در سیستم قدرت بزرگ با استفاده از الگوریتم بهینه سازی گرگ نیمه مخالف خاکستری
کلمات کلیدی
کنترل فرکانس بار، بهینه سازی گرگ خاکستری، یادگیری مبتنی بر مخالفت، آموزش مبتنی بر نیمه مخالف، تجزیه و تحلیل میزان حساسیت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
This article presents a newly developed, novel and efficient optimization technique called quasi-oppositional grey wolf optimization algorithm (QOGWO) for the first time to solve load frequency control problem (LFC) of a power system. Grey wolf optimization (GWO) is a recently developed meta-heuristic optimization technique based on the effect of leadership hierarchy and hunting mechanism of wolves in nature. Two widely employed test systems; viz. two-area hydro-thermal and four-area hydro-thermal power plant, are considered to establish the effectiveness of the proposed QOGWO algorithm. Optimal proportional-integral-derivative controller (PID) is designed for each area separately using proposed algorithm employing integral time absolute error (ITAE) based fitness function. The validity of proposed QOGWO method is tangibly verified by comparing its simulation results with those of GWO and other approaches available in the literature. Time domain simulation results confirm the potentiality and efficacy of the proposed QOGWO method over other intelligent methods like fuzzy logic, artificial neural network (ANN) and adaptive neuro-fuzzy interface system (ANFIS) controller. Finally, sensitivity analysis is performed to show the robustness of the designed controller under different uncertainty conditions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Science and Technology, an International Journal - Volume 19, Issue 4, December 2016, Pages 1693-1713
نویسندگان
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