کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
494541 862799 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi area AGC scheme using imperialist competition algorithm in restructured power system
ترجمه فارسی عنوان
طرح AGC چند منطقه با استفاده از الگوریتم رقابت امپریالیستی در سیستم قدرت بازسازی شده
کلمات کلیدی
کنترل تولید اتوماتیک؛ تنظیم مقررات؛ مقدمه رقابت امپریالیستی؛ کنترل کننده PID؛ بهينه سازي
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• PID controller for deregulated two area power system (without GRC) and three area power system (with GRC) is designed using ICA.
• Parameters of PID has also obtained by genetic algorithm.
• A comparison of ICA obtained PID and GA obtained PID is carried out.
• Results show the success and validity of ICA-PID over GA-PID.

This paper is focused on optimization based design methodology and application of PID controller in restructured, competitive electricity market environment, for AGC problem. The paper compares two search algorithms for designing of PID controller used for AGC in multiarea power system. The optimal parameters of PID controller have been determined with the use of Imperialist Competitive Algorithm (ICA). A deregulated scenario has been considered to develop the model of the multiarea AGC scheme. This paper presents that the ICA tuned PID (ICA-PID) controller can optimally regulate the generators output and can provide the best dynamic response of frequency and tie-line power on a load perturbation. The performance of proposed controller has been checked on 2-area thermal power system and 3-area thermal-hydro power system with the consideration of generation rate constraint (GRC). The results obtained by ICA-PID controller and genetic algorithm tuned (GA-PID) controller have been compared on the basis of performance parameters (settling time and oscillations). It is seen that ICA-PID controller shows the better performance as compared to GA-PID controller.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 48, November 2016, Pages 160–168
نویسندگان
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