Planeamiento dinámico de la expansión de los sistemas de transmisión usando algoritmos meméticos

Abstract

The objective of Dynamic Transmission Expansion Planning (DTEP) is to determine what electrical infrastructure, where and when it should be added to a power system within a given time horizon. The addition of new components to the system seeks to meet the growth in demand, and to comply with parameters of efficiency, quality of service, reliability and economy, within the planning horizon. In this research work, a solution method is proposed and implemented using a technique based on Memetic Algorithms, which solves the DTEP problem by combining solution techniques based on population and local search. The proposed algorithm combines the Particle Swarm Optimization (PSO) technique and Hill Climbing local search technique. The test systems to obtain the results were the Garver and the 24-node IEEE systems. The test scenarios for these systems were with and without redispatch.