Abstract :
In this paper, the power system stabilizer (PSS) and Thyristor controlled phase shifter (TCPS) interaction is investigated. The objective of this work is to study and design a controller capable of doing the task of damping in less economical control effort, and to globally link all controllers of national network in an optimal manner, toward smarter grids. This can be well done if a specific coordination between PSS and FACTS devices is accomplished. Firstly, a genetic algorithm-based controller is used. Genetic Algorithm (GA) is utilized to search for optimum controller parameter settings that optimize a given eigenvalue based objective function. Secondly, an optimal pole shifting, based on modern control theory for multi-input multi-output systems, is used. It requires solving first order or second order linear matrix Lyapunov equation for shifting dominant poles to much better location that guaranteed less overshoot and less settling time of system transient response following a disturbance.
Keywords :
Lyapunov matrix equations; control system synthesis; damping; eigenvalues and eigenfunctions; flexible AC transmission systems; genetic algorithms; linear matrix inequalities; optimal control; oscillations; phase shifters; power system control; power system stability; smart power grids; thyristor applications; FACTS devices; PSS; control theory; economical control; eigenvalue based objective function; flexible AC transmission system; genetic algorithm-based optimal controller; multiinput multioutput system; national network; optimal pole shifting; power system oscillation damping; power system stabilizer; second order linear matrix Lyapunov equation; smart grid; thyristor controlled phase shifter; Damping; Eigenvalues and eigenfunctions; Gallium; Genetic algorithms; Loading; Oscillators; Power systems; FACTS; Genetic Algorithms; PSS; Pole shifting; TCPS; power system stability;