A new intelligent nonlinear control for power system stabilizers that improves the transient stability is proposed. To guarantee high performance with low complexity cost, new concepts on the passivity design under unknown disturbance inputs, as well as on the adaptive fuzzy logic rule extraction are introduced. This permits the most possible simple design implementation of an adaptive-fuzzy lo...

This paper proposes to utilize intentional time delays as part of controllers improve the damping electromechanical oscillations power systems. Through stability theory, control parameter settings for which these in Power System Stabilizers (PSSs) small signal a system are systematically identified, including key regions plane remain connected effective operation. The shows that PSSs with two c...

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...

Power-system stability improvement by simultaneous tuning of power system stabilizer (PSS) and a Static Var Compensator (SVC) based damping controller is thoroughly investigated in this paper. Both local and remote signals with associated time delays are considered in the present study. The design problem of the proposed controller is formulated as an optimization problem, and differential evol...

In this paper a classical lead-lag power system stabilizer is used for demonstration. The stabilizer parameters are selected in such a manner to damp the rotor oscillations. The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigen value based objective function and it is proposed to employ simulated annealing and particle swarm optimization ...

Power System Stabilizers (PSS) are generally employed to damp electromechanical oscillations by providing auxiliary stabilizing signals to the excitation system of the generators. But it has been found that these Conventional PSS (CPSS) do not provide sufficient damping for inter-area oscillations in multimachine power systems. Thyristor Controlled Series Capacitor (TCSC) has immense potential ...

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 study proposed a novel algorithm to tune and coordinate power system stabilizers (PSSs) in multi-machine power systems. For a multi-machine power system, the coordination of the PSS parameters is generally formulated as an objective function with constraints including the damping ratio and damping factor. A novel hybrid particle swarm optimization (PSO) with the passive congregation algori...

This paper presents an intelligent model; named as free model, approach for a closedloop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for such dynamic system, which is complex, difficult to know, or unknown, with input and...

This paper presents a hybrid Proportional Integral Differential (PID) and Power System Stabilizer (PSS) controller based Artificial Bee Colony (ABC) techniques to damp low frequency oscillation. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. The optimal PID and PSS parameters are applied on a S...