Transmission network expansion planning under an improved genetic algorithm

This paper describes the application of an Improved Genetic Algorithm (IGA) to deal with the solution of the Transmission Network Expansion Planning ( TNEP) problem, Genetic Algorithms (GA's) have demonstrated the ability to d eal with nonconvex. nonlinear, integer-mixed optimization problems, like th e TNEP problem, better than a number of mathematical methodologies, Some sp ecial features hare been added to the basic Genetic Algorithm (GA) to impro ve its performance in solving the TNEP problem for three real-Life, large-s cale transmission systems. Results obtained reveal that GA's represent a pr omising approach for dealing with such a problem. In this paper, the theore tical issues of GA applied to our problem are emphasized.