Optimal locating and sizing of TCSC for social welfare maximization in deregulated power markets

Abstract

This paper presents a genetic algorithm GA to perform congestion management and maximize social welfare by placement and sizing of one TCSC device. Conventional quadratic smooth and augmented quadratic nonsmooth generator cost curves and quadratic smooth consumer benefit functions are considered. By adding the valve point effect, the model presents nondifferentiable and nonconvex regions that challenge most gradient-based optimization algorithms. The aim of this paper are locating/sizing of TCSC and inclusion of customer benefit in the congestion management objective function, consideration of nonsmooth generator characteristics.