Simulated Annealing with Gaussian probability density function for Transmission Expansion Planning

P. Vilaça

U.Porto Journal of Engineering Vol. 1, nº. 1, pp. 104 - 113

Summary:

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 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.

Keywords: Transmission Expansion Planning, Simulated Annealing, Local Search, Probability Density Function.

DOI reference: https://doi.org/10.24840/2183-6493_001.001_0010

Published on paper: October 2015.

Citation:
P. Vilaça, Simulated Annealing with Gaussian probability density function for Transmission Expansion Planning. U.Porto Journal of Engineering. Vol. 1, nº. 1, pp. 104 - 113, October 2015.