This paper presents a self-organizing power system stabilizer (SOPSS) which use the fuzzy Auto-Regressive Moving Average (FARMA) model. The control rules and the membership functions of proposed the fuzzy logic controller are generated automatically without using any plant model. The generated rules are stored in the fuzzy rule space and updated on-line by a self-organizing procedure. To show t...

The design of a conventional power system stabilizer (PSS) based on linearized model cannot guarantee its performance in practical operating, so some intelligent techniques have been used. However, the parameters cannot update online in most of these mehods, thus the performance cannot be further improved. This paper adopts the design method of adaptive neural-fuzzy based power system stabilize...

This paper presents a Genetic Algorithms (GA) based rule generation method for Fuzzy Power System Stabilizer (FPSS) to enhance damping of the power system low frequency oscillations. This proposed controller is more efficient because it cope with oscillations and different operating points. There is no doubt that fuzzy controller is tuned on line from the knowledge base and fuzzy interference. ...

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...

Fuzzy logic has emerged as a promising tool for several power system applications. A large body of the literature in this area is concerned with the stability of the electric power system and considerable effort has been directed to the development of a fuzzy logic based power system stabilizer (FLPSS). The purpose of this paper is to present an overview of the FLPSS, based on published literat...

Application of a self-learning adaptive network-based fuzzy inference system as a power system stabilizer (PSS) is described in this paper. A multilayer adaptive network is employed to design the fuzzy logic controller with self-learning capability that does not require another controller to tune the fuzzy inference rules and membership functions. Details of the design process are given. Behavi...

The effectiveness of power system stabilizer (PSS) in providing damping and improving the dynamic response is well established. In this paper focuses, the performance of single machine infinite bus is studied with fuzzy power system stabilizer (FPSS). The generator is represented by the standard K-coefficients as second order system. The mechanism to discuss the rules is described and the perfo...

Department of Electrical Engineering, AU college of Engineering, Andhra University, Visakhapatnam, India 2 Research Scholar, Department of Electrical Engineering, AU college of Engineering, Andhra University, Visakhapatnam, India Abstract Power System Stabilizer (PSS) must be capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbances. Trad...

–In recent years, voltage instability has been responsible for many major network collapses throughout the world; hence the growing interest of power engineers and researchers to address this problem. This thesis provides an introduction to the concepts and definitions related to voltage stability problems in power systems. It also gives a concise description of the stability problems of the di...