Planejamento Multiobjetivo de Expansão da Transmissão baseado em Dominância de Pareto Considerando Geração Eólica

Abstract

The presence of variable energy conversion such as wind sources leads to new challenges to the Transmission Expansion Planning problem (TEP). Due to uncertainties related to the stochastic behavior of equipment and variable sources, methods based on scenarios and contingency lists are often preferable to more realistic tools such as Monte Carlo Simulation (MCS) due to the computational cost of the last kind. This work presents an efficient multi-objective algorithm for the probabilistic TEP by considering investment and reliability as objectives, integrating Pareto dominance concepts with the estimation of Expected Energy not Supplied through MCS to reduce the complexity of the problem and increasing its efficiency. The 24-bar IEEE-RTS system is used to demonstrate the technique's performance and ability to search for good solutions around 48% faster than the traditional method.