Simulated Annealing with Gaussian Probability Density Function for Transmission Expansion Planning

Phillipe Gomes
2017 U Porto Journal of Engineering  
Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima. This tool has the ability to escape from a local optima accepting relatively bad solutions for a period and searching for good solutions in your neighborhood. This paper describes the use of SA based on Gaussian Probability Density Function as a decision support criteria in resolution of Transmission Expansion Planning (TEP) problem. This method consists in starting from an initial solution
more » ... nitial solution with all possible circuits added and over the iterations removing, replacing or adding new circuits. The method proved to be a reasonable computational effort and proved able to find optimal values known in the literature.
doi:10.24840/2183-6493_001.001_0010 fatcat:ii3kbrsbvvd2xg6l6d4q4kvgpq