دانلود مقاله ISI انگلیسی شماره 55425
ترجمه فارسی عنوان مقاله

یک روش جدید تنظیم هوشمند فازی آنلاین برای کنترل فرکانس بار چندمنطقه ای: الگوریتم خفاش خودتطبیقی اصلاح شده

عنوان انگلیسی
A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
55425 2015 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Electrical Power & Energy Systems, Volume 71, October 2015, Pages 254–261

ترجمه کلمات کلیدی
کنترل هوشمند آنلاین - کنترل منطق فازی؛ کنترل فرکانس بار (LFC)؛ الگوریتم خفاش خودتطبیقی اصلاح شده(SAMBA)؛ کنترل تولید خودکار (AGC)
کلمات کلیدی انگلیسی
Online intelligent control; Fuzzy logic control; Load frequency control (LFC); Self-Adaptive Modified Bat Algorithm (SAMBA); Automatic Generation Control (AGC)
پیش نمایش مقاله
پیش نمایش مقاله  یک روش جدید تنظیم هوشمند فازی آنلاین برای کنترل فرکانس بار چندمنطقه ای: الگوریتم خفاش خودتطبیقی اصلاح شده

چکیده انگلیسی

The primary aim of the Automatic Generation Control (AGC) is to maintain system frequency and tie-line interchanges in a predestine limits by regulating the power generation of electrical generators, in case of fluctuations in the system frequency and tie-line loadings. This paper proposes a new online intelligent strategy to realize the control of multi-area load frequency systems. The proposed intelligent strategy is based on a combination of a novel heuristic algorithm named Self-Adaptive Modified Bat Algorithm (SAMBA) and the Fuzzy Logic (FL) which is used to optimally tune parameters of Proportional–Integral (PI) controllers which are the most popular methods in this context. The proposed controller guaranties stability and robustness against uncertainties caused by external disturbances and impermanent dynamics that power systems face. To achieve an optimal performance, the SAMBA simultaneously optimizes the parameters of the proposed controller as well as the input and output membership functions. The control design methodology is applied on four-area interconnected power system, which represents a large-scale power system. To evaluate the efficiency of the proposed controller, the obtained results are compared with those of Proportional Integral Derivative (PID) controller and Optimal Fuzzy PID (OFPID) controller, which are the most recent researches applied to the present problem. Simulation results demonstrate the successfulness and effectiveness of the Online-SAMBA Fuzzy PI (MBFPI) controller and its superiority over conventional approaches.