Design of Robust Type-2 Fuzzy Logic Power System Stabilizer Using Hopf Bifurcations
نویسندگان
چکیده
A power system shifts to a state outside the stability boundary encountered by unstable limit cycles, at this point it will not return to the stable operating point. This resembles an increasing oscillatory behaviour in a nonlinear continuous time dynamic systems. Locating the unstable limit cycles and enhancing the stability margin is a difficult task. The effective devices for damping these oscillations are Power System Stabilizers (PSSs). The conventional power system stabilizer (CPSS) considered is lead-lag PSS. The conventional power system stabilizer enhances the stability margin of the power system. The dynamic stability margin of power system is evaluated by finding the loading condition that result in Hopf bifurcations. At this load the power system exhibits a pair of purely imaginary eigenvalues. Literature shows that a Fuzzy Logic Power System Stabilizer (FLPSS) is a controller to cover a wider range of operating conditions. In the present paper a type-2 fuzzy logic power system stabilizer is used to damp the power system oscillations. The parameters of the stabilizer are designed for the loading condition resulting in Hopf bifurcations of power system with CPSS. To obtain the best damping characteristics, speed deviation ( ), derivative of speed deviation ( ) and power angle ( ) are taken as input to type-2 fuzzy logic power system stabilizer. The proposed controller is included in the small signal model of the power system. The performance of the proposed controller is tested over varied operating conditions. The efficacy of the proposed controller is compared to Convectional Power System Stabilizer.
منابع مشابه
Robust Control Design of Power System Stabilizer Using Fuzzy Logic Controller
In this paper is presented the study of fuzzy logic power stabilizer for stability of a single machine infinite bus (SMIB). The performance of the system with fuzzy logic based power system stabilizer is compared with the system having conventional power system stabilizer and system without power system stabilizer. The results show that the system with fuzzy logic controller is capable of stabi...
متن کاملDesign of Robust Fuzzy Logic Power System Stabilizer
Power system stabilizers (PSS) must be capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbance. Traditional PSS rely on robust linear design method in an attempt to cover a wider range of operating condition. Expert or rule-based controllers have also been proposed. Recently fuzzy logic (FL) as a novel robust control design method has sh...
متن کاملPerformance Analysis of Transient Stability and Its Improvement Using Fuzzy Logic Based 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...
متن کاملA New Fuzzy Stabilizer Based on Online Learning Algorithm for Damping of Low-Frequency Oscillations
A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...
متن کاملDesign of Fuzzy Logic Power System Stabilizers in Multimachine Power System Using Genetic Algorithm
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...
متن کامل