Research Specifications

Home \Design of PWMSC Controller ...
Title
Design of PWMSC Controller using Augmented lagrangian Particle swarm Optimation Algorithm
Type of Research Article
Keywords
PWMSC; ALPSO algorithm; damping controller; constrained nonlinear optimiza- tion; dynamic stability
Abstract
This paper presents a systematic process for designing a damping controller for pulse width modulated series compensator (PWMSC) to improve the angular stability of a multi-machine power system. The proposed controller is robust and tuned by satisfying the multiple H1 performance criteria to stabilize the system at multiple operating conditions. The design problem has been converted into a constrained nonlinear optimization problem with the time domain-based objective function which is solved by an augmented Lagrangian particle swarm optimization (ALPSO) algorithm. The proposed control scheme has been implemented on two nonlinear test systems. The nonlinear simulation results clearly verify that the designed con- troller with proposed model improves the dynamic stability of the case studies, particularly when the operating loadings changes.
Researchers Amin Safari (First Researcher)، heidarali shayanfar (Second Researcher)، (Third Researcher)، Amir Ameli (Fourth Researcher)