Transmission network expansion planning under an improved geneticalgorithm

摘要

This paper describes the application of an improved geneticnalgorithm (IGA) to deal with the solution of the transmission networknexpansion planning (TNEP) problem. Genetic algorithms (GAs) havendemonstrated the ability to deal with nonconvex, nonlinear,ninteger-mixed optimization problems, like the TNEP problem, better thanna number of mathematical methodologies. Some special features have beennadded to the basic GA to improve its performance in solving the TNEPnproblem for three real-life, large-scale transmission systems. Resultsnobtained reveal that GAs represent a promising approach for dealing withnsuch a problem. In this paper, the theoretical issues of GA applied tonthe authors' problem are emphasized