دانلود مقاله ISI انگلیسی شماره 56872
ترجمه فارسی عنوان مقاله

روش ترکیبی عصبی فازی برای کنترل اتوماتیک تولید در سیستم قدرت تجدید ساختار شده

عنوان انگلیسی
Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
56872 2016 12 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 74, January 2016, Pages 274–285

ترجمه کلمات کلیدی
AGC؛ ANFIS؛ ANN؛ سیستم قدرت تجدید ساختار شده؛ HCPSO؛ RCGA
کلمات کلیدی انگلیسی
AGC; ANFIS; ANN; Deregulated power system; HCPSO; RCGA
پیش نمایش مقاله
پیش نمایش مقاله  روش ترکیبی عصبی فازی برای کنترل اتوماتیک تولید در سیستم قدرت تجدید ساختار شده

چکیده انگلیسی

In this paper, a hybrid combination of Neuro and Fuzzy is proposed as a controller to solve the Automatic Generation Control (AGC) problem in a restructured power system that operates under deregulation pedestal on the bilateral policy. In each control area, the effects of the possible contracts are treated as a set of new input signal in a modified traditional dynamical model. The prominent advantage of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter discrepancy and system nonlinearities. This newly developed strategy leads to a flexible controller with a simple structure that is easy to implement and consequently it can be constructive for the real world power system. The proposed method is tested on a three-area hydro-thermal power system in consideration with Generation Rate Constraint (GRC) for different contracted scenarios under diverse operating conditions. The results of the proposed controller are evaluated with the Hybrid Particle Swarm Optimisation (HCPSO), Real Coded Genetic Algorithm (RCGA) and Artificial Neural Network (ANN) controllers to illustrate its robust performance.