masoud maleki rizi

This paper presents the impact of simultaneous and coordinated control of the unified power flow controller (UPFC) and the doubly-fed induction generator (DFIG) on the multi-machine power system`s dynamic stability. All UPFC`s main basic PI controllers and its Power Oscillation Damping (POD) supplementary controller have been used. A more complete model of DFIG and both Rotor-Side Converter (RSC) and Grid-Side Converter (GSC) dynamics with their PI controllers are considered, too. UPFC and DFIG controllers are simultaneously coordinated and optimized with compromising between their control variables parameters. Particle Swarm Optimization (PSO) algorithm is used to optimize the objective function based on eigenvalues and damping ratio to reach the best parameters and variables of controllers of both UPFC and DFIG. During the studies of permanent and dynamic state, the thermal capacity of the lines and the nominal values of UPFC have also been considered. Simulation results in a 39-bus 10-machine New-England power system show the capability of the applied method. The results demonstrate that coordinated control of UPFC and DFIG tend to more damping system modes oscillation and more stability in the power system.

This paper presents enhancement of power system dynamic stability while equipped with both unified power flow controller and doubly fed induction generator by using LMI technique. We have used all UPFC (Unified Power Flow Controller) main basic PI controllers and its POD (Power Oscillation Damping) supplementary controller. More complete model of DFIG (Doubly Fed Induction Generator) and both RSC (Rotor Side Converter) and GSC (Grid Side Converter) dynamics with their controllers have considered too. These two devices controllers have simultaneously co-ordinate and optimized with compromising between their control variables parameters. PSO (Particle Swarm Optimization) algorithm has used to optimize an objective function based on Eigen values and damping ratio to reach to best parameters and variables of controllers of both of UPFC and DFIG. LMI (Linear Matrix Inequality) have applied to whole system linearized model to reach to optimally modified eigenvalues. Within steady state and dynamic study we considered practical line thermal capacity and UPFC power rating too. Simulation results in 39-bus 10-machine Ne-England power systems ilustrate the capability of applied method. The results demonstrated that coordinated control of these two devices beside using LMI tend to more damping of system modes oscillation and more stability in power system.