کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
398375 1438738 2014 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multi objective vector evaluated improved honey bee mating optimization for optimal and robust design of power system stabilizers
ترجمه فارسی عنوان
یک بردار چند هدفه بهینه سازی جهش زنبور عسل بهبود یافته برای طراحی مطلوب و قوی از تثبیت کننده های سیستم قدرت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• A vector evaluated honey bee mating optimization for optimal and robust design of PSS is proposed.
• A multi objective VEIHBMO based method with fuzzy mechanism for PSS designing is developed.
• VEIHBMO based tuned PSS is verified on 4 and 16 machines systems to damp low frequency oscillations.
• Some comparable index and eigenvalue analysis is used to show the ability and robustness.

This paper presents the Parallel Vector Evaluated Improved Honey Bee Mating Optimization (VEIHBMO) as a novel multi objective technique to obtain a set of optimal Power System Stabilizers (PSSs) parameters. It includes a feedback signal of a remote machine and local and remote input signal ratios for each machine in a multi-machine power system under various operating conditions. This goal is formulated as a multi objective optimization process with two competing and non-commensurable fitness functions. The objectives considered in this paper are the time domain based integral square time of square error (ISTSE) and eigenvalues based comprising the damping factor. The effectiveness of the proposed method is demonstrated on 4-machine two-area and 16-machine five-area power system under different loading conditions. The system performance is assessed through the time multiplied absolute value of the error (ITAE), eigenvalues and figure of demerit (FD) analysis performance indices. The simulation results show that the performance of the proposed stabilizer is comparable to that which could be obtained by the conventional design, but without the need for the estimation and computation of the external system parameters.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 62, November 2014, Pages 630–645
نویسندگان
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