Castro, Carlos AlbertoSanchez Cueva, Richard MauricioVillacres Enriquez, Luis RicardoTorres Contreras, Santiago Patricio2020-05-142020-05-1420199781538682180000-000-000-0http://dspace.ucuenca.edu.ec/handle/123456789/34307https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85075895453&origin=inward© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.es-ESMontecarloAC modelMontecarloSimheuristicTransmission Expansion PlanningUncertaintyAC ModelSimheuristicTransmission Expansion PlanningUncertaintyARTÍCULO DE CONFERENCIA10.1109/ISGTEurope.2019.8905689