Planeamiento de la expansión de sistemas de transmisión usando el modelo AC y algoritmos de estimación de distribución

Abstract

The Transmission Network Expansion Planning (TNEP) problem consists of determine the transmission network to be built to meet the future demand requirements for a long-term scenario, minimizing the cost of investment and meeting the technical criteria of the network. This research work thesis presents a methodology and a mathematical model to solve the long-term static Transmission Network Expansion Planning. The AC model with non-linear load flow equations is used to represent the transmission network, which represent a non-linear, mixed-integer problem (MINLP), combinatorial and non-convex problem to solve the TNEP. The objective function to be minimized allows to include both the cost per investment and the cost associated per active power losses. The Estimation of Distribution Algorithms (EDAs) are used as optimization technique to solve the TNEP. These algorithms are meta-heuristic techniques that base its search on generate a probabilistic model of the promising solutions to generate the next population. The proposed algorithms are tested on Garver 6-node systems and on the IEEE 24-node system.