This paper investigates and compares performance of various conventional and fuzzy logic based controllers at generator locations for oscillation damping. Performance of combination of conventional and fuzzy logic based controllers also studied by comparing overshoot on the active power deviation response for a small disturbance and damping ratio of the critical mode. Fuzzy logic based controll...

In this paper, structure of fuzzy logic controller is presented. Power systems are subjected to low frequency disturbances that might cause loss of synchronism and an eventual breakdown of entire system. These oscillations limit the power transmission capability of a network and cause loss of synchronism. Power system stabilizers (PSS) are used to damp these low frequency oscillations by provid...

This paper introduces a fuzzy controller as a power system stabilizer used to damp inter-area modes of oscillation following disturbances in power system. The fuzzy-logic power system stabilizer (FPSS) has been designed to provide a supplementary signal to the excitation system of the synchronous generator. The performance of FPSS, which is tuned automatically as the operating conditions of pow...

As the world’s power supply to a very larger degree based on wind turbines, it is consequently and increasingly essential that these are as reliable and available as possible. The main objective of the most of the wind energy systems is to extract the maximum power obtainable in the wind stream. However, the wind regime changes continuously and thus to follow these variations, the system contro...

This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

This paper presents an application of Adaptive Neuro-Fuzzy Inference System (ANFIS). The control structure of the purposed consists fuzzy logic to damp the low frequency oscillations of power system and neuro identifier to track the dynamic behavior of the plant. In practical for damping of disturbance in the power system, Automatic Voltage Controller (AVR) is used. To develop this controller a...

-This paper presents the application of fuzzy c-means (FCM) clustering in the order reduction of dynamic models for controller design in a power system. Based on the fuzzy c-means algorithm, a method is proposed for clustering the poles and zeros of the original power system model into new clusters from which a reduced-order model can be obtained. Then the reduced-order model is used to design ...

Recently there has been significant growth in the use of fuzzy logic in industrial and consumer products (J. Yen 1995). However, although fuzzy control has been successfully applied to many industrial plants that are mostly nonlinear systems, many critics of fuzzy logic claim that there is no such thing as a stability proof for fuzzy logic systems in closedloop control (Reznik 1997; Farinwata, ...