Power system damping using GA based fuzzy controlled SVC device

Abstract

This paper investigates the application of SVC hybrid controller for improving damping inter-area modes of oscillations. The proposed controller comprised fuzzy logic proportional and derivative controller with the conventional Proportional and integral controller (FUZZY PD+PI) turn by genetic algorithm techniques. The proposed control scheme implements the characteristics of the GA's global optimization to optimize the FPD control parameters, k p , k d ,K P ,K I and K D to obtain the best control effect by minimizing the integral time square error online. This type of hybrid control is proved to be more robust and effective in damping electromechanical oscillations of the power systems in comparison with the conventional PID regulators or Fuzzy only used for SVC control. The performances of the controllers and the improvement in the system response are presented to highlight the effectiveness of the proposed SVC controller in a two -area four machines power system Keywords-SVC, Power system oscillations, fuzzy logic control, GA and PID

PSO based location and parameter setting of advance SVC controller with comparison to GA in mitigating small signal oscillations

“…There are four tuning parameters of the SVC controller; the controller gain (K svc ), lead time constant (T 1 ), lag time constant (T 2 ) and the location number (N loc ). These parameters are to be optimized by minimizing the objective function J given by (13). With the change of locations and parameters of the TCSC controller the damping ratio ) (ζ as well as J varies.…”

“…Many stochastic search methods have been utilized for global optimization problems in power systems, such as simulated annealing, artificial neural network and evolutionary programming [11]- [12]. The application of a GA based fuzzy hybrid SVC controller has been proposed in [13] for improving damping inter-area modes of oscillations.…”