A GA-optimized Neuro-fuzzy Power System Stabilizer for Multi-machine System

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Indirect Adaptive Fuzzy Power System Stabilizer for a Multi-machine Power System

An indirect adaptive fuzzy power system stabilizer (IDFPSS) is proposed in this paper. It consists of A fuzzy identifier and a feedback linearizing controller. The objective is to damp local and inter-area oscillations that occur following power system disturbance. The effectiveness of the proposed technique is illustrated by applying the IDFPSS to a two-area four-machine system that is typical...

متن کامل

GA-optimized neuro-fuzzy approach for nonlinear system modeling

In order to characterize the behavior of nonlinear dynamic systems many different approaches have been proposed in recent years. One of the best black-box models employed to deal with system nonlinearities is the combination of artificial neural network (ANN) and fuzzy logic system (FLS), which is known as neuro-fuzzy system. However, the gradient-based nature of this combination causes some de...

متن کامل

Design of Power System Stabilizer with Neuro-Fuzzy UPFC Controller

The growth in the demand of electrical energy is leading to load on the Power system which increases the occurrence of frequent oscillations in the system. The reason for the oscillations is due to the lack of damping torque which is required to dominate the disturbances of Power system. By using FACT devices, such as Unified Power Flow Controller (UPFC) can control power flow, reduce sub-synch...

متن کامل

Robust Fuzzy Stabilizer Design for Power System

In this paper, a robust method to changes of work points for stability of the power systems equipped with PSS controllers has been presented. In the proposed method, at first the coefficients of PSS controller for different work points of the system have been optimized off line by PSO algorithm and then a fuzzy controller to select the best power system stabilizers have been optimized according...

متن کامل

Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm

In this paper, an evolutionary algorithm-Invasive Weed Optimization (IWO) based power system stabilizer (PSS) is proposed for multi-machine power system. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. Owing to its superior performance in comparison with many other existing meta-heuristics, it has used to search for optimal...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of King Saud University - Engineering Sciences

سال: 2010

ISSN: 1018-3639

DOI: 10.1016/s1018-3639(18)30500-2