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...

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...

This paper presents a method for damping of low frequency oscillations (LFO) in a power system. The powersystem contains static synchronous series compensators (SSSC) which using a chaotic harmony searchalgorithm (CHSA), optimizes the lead-lag damping stabilizer. In fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...

The design and implementation of Power System Stabilizer (PSS) in a multimachine power system based on innovative evolutionary algorithm plainly as Breeder Genetic Algorithm (BGA) with Adaptive Mutation is described in this paper. For the analysis purpose a Conventional Power System Stabilizer and a Conventional Genetic Algorithm based Power System Stabilizer are designed and implemented in the...

This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer...

This article is focused on the implementation of Fuzzy Logic Controller based Power system Stabilizer to enhanced transient stability of the multi machine system. Power system is very complex as well as highly nonlinear system. At present, there are different control mechanism used to control excitation system of the generator to enhance stability of system. Power system stabilizer (PSS) instal...

This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer...

Increasing interest has been seen in applying power system stabilizer to power systems problems from the number of publications on this topic in recent decade years. As a relatively new research topic a need is felt to pay more attention to the basic principles of the theory, identification of problems and design of Power System Stabilizer. This paper presents a survey of few decade publication...

An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...