Planeamiento de la expansión de los sistemas de transmisión considerando incertidumbre

Abstract

The supply of electrical energy is growing rapidly in society, so that providing electrical energy from generation to consumption has taken a fundamental role in the development of humanity, making it one of the main indicators of technical, social and economic development. For this reason, It is important realize the Transmission Expansion Planning (TEP), which consists of determining the necessary infrastructure modifications to be made to the electrical transmission system in order to guarantee its correct operation in a time horizon. When considering the uncertainty in demand and generation, the TEP problem becomes even more complex to analyze. This research work presents the methodology and mathematical model to face the Transmission System Expansion Planning considering uncertainty. For the solution of the problem the AC model is used, and a simheuristic algorithm that combines the simulation with a metaheuristic algorithm. The Montecarlo simulation technique was used to treat the stochastic behavior of demand and generation, and the metaheuristic of the Ant Colony Optimization for continuous domains "ACOR" to find the optimal solution of the problem. To analyze the performance of the symheuristic algorithm, it was validated for different test scenarios on Garver 6-bus and IEEE 24-bus systems.