In this paper, simulation results using MATLAB / SIMULINK of conventional and fuzzy type both power system stabilizers are shown. The performance of the proposed model is tested and performed on Single Machine Infinite Bus System (SMIB). By using different K constant, the performance of SMIB system with proposed model has been analyzed under different system condition i.e. SMIB with excitation ...

This article is devoted to investigating the evolution of probability density function for power system excited by fractional stochastic noise. First, single-machine-infinite-bus (SMIB) model Gaussian noise (FGN) established. Second, we derive Fokker–Planck–Kolmogorov (FPK) equation proposed and solve FPK using finite difference method. Finally, numerical results verify that addition FGN would ...

 Abstract—Many natural and manmade dynamical systems that are modeled as large nonlinear multi-oscillator systems like power systems are hard to analyze. For such systems, we propose a nonlinear modal decoupling (NMD) approach inversely constructing as many decoupled nonlinear oscillators as the system’s oscillation modes so that individual decoupled oscillators can be easily analyzed to infer...

Low Frequency Oscillations (LFO) occur in power systems because of lack of the damping torque in order to dominance to power system disturbances as an example of change in mechanical input power. In the recent past Power System Stabilizer (PSS) was used to damp LFO. FACTs devices, such as Unified Power Flow Controller (UPFC), can control power flow, reduce sub-synchronous resonance and increase...

This paper discusses the systematic design of an adaptive feedback linearizing neurocontroller for a high-order model of the synchronous machine/infinite bus power system. The power system is first modelled as an input-output nonlinear discrete-time system approximated by two neural networks. The approach allows a simple linear pole-placement controller (which is itself not a neural network) to...