Algorithm (GA) approach to tune the parameters of a Thyristor Controlled Series Compensator (TCSC), for power system stability improvement. Pareto method type of selection is used in the present multi-objective GA approach, which gives a set of solutions from which the best one can be chosen according to the requirements and needs. The design problem of TCSC controller is formulated as a parame...

In this article, coordinated tuning of power system stabilizer (PSS) with static var compensator (SVC) and thyristor controlled series capacitor (TCSC) in multi-machine power system is proposed. The design of proposed coordinated damping controller is formulated as an optimization problem and the controller gains are optimized instantaneously using advanced adaptive particle swarm optimization ...

Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the appl...

Many real-world optimization problems involve multiple conflicting objectives and the use of evolutionary algorithms to solve the problems has attracted much attention recently. This paper investigates the application of multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the performance of a power system. The des...

In this paper an attempt has been made to study the application of Thyristor Controlled Series Capacitor (TCSC) to mitigate small signal stability problem in addition to congestion management of a heavily loaded line in a multimachine power system. The Flexible AC Transmission System (FACTS) devices such as TCSC can be used to control the power flows in the network and can help in improvement o...

This paper aims to select the optimal location and setting parameters of TCSC (Thyristor Controlled Series Compensator) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, installation of FACTS device has been suggested here in or...

Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the appl...

Abstract A systematic procedure for modeling, simulation and optimal tuning the parameters of a Thyristor Controlled Series Compensator (TCSC) controller, for the power system stability enhancement is presented in this paper. For the simulation purpose, the model of singlemachine infinite bus (SMIB) power system with TCSC controller is developed in MATLAB/SIMULINK. The design problem of TCSC co...

Design of an optimal controller requires the optimization of differential evolution performance measures that are often no commensurable and competing with each other. Being a population based approach; Differential Evolution (DE) is well suited to solve designing problem of TCSC – based controller. This paper investigates the application of DE-based multi-objective optimization technique for t...

Design of an optimal controller requires optimization performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a particle swarm optimization (PSO) problem. This paper investigates the comparison of application of PSO based optimization technique and Differential Evolution (DE) for the design of a Thyristor Controlled Series Compen...