Showing papers by "Rabindra Kumar Sahu published in 2009"

Multi-objective optimization technique for TCSC-based supplementary damping controller design

Abstract: Design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a multi-objective optimization problem. Being a population based approach; Genetic Algorithm (GA) is well suited to solve multi-objective optimization problems. This paper investigates the application of GA-based multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based supplementary damping controller. The design objective is to improve the power system stability with minimum control effort. The proposed technique is applied to generate Pareto set of global optimal solutions to the given multi-objective optimization problem. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. Simulation results are presented to show the effectiveness and robustness of the proposed approach.

Modelling, simulation and optimal design of a TCSC-based controller in a power system

Abstract: This paper presents a MATLAB/Simulink-based modelling and simulation of a power system installed with a thyristor controlled series compensator (TCSC)-based controller which is suitable for carrying out power system stability studies. The synchronous generator is represented by one field circuit and one equivalent damper on q-axis known as the Model 1.1, so that the impact of TCSC on power system stability can be more reasonably evaluated. Further, a TCSC-based controller has been designed for improving the system damping. The design problem of the proposed controller is formulated as an optimisation problem and differential evolution (DE) optimisation technique is employed to search for the optimal controller parameters. A detailed analysis on the selection of control signals, both local (line current) and remote (speed deviation) signals, on the effectiveness of the TCSC controller is carried out and simulation results are presented.