Planejamento de parques eólicos com análise de requisito de confiabilidade

Abstract

This paper proposes an application of metaheuristic and bioinspired optimization techniques to the planning of offshore wind farms, considering the reliability and economic criteria, related to the costs inherent to the cables for the routing between wind turbines as wells between wind turbines and the farm internal substation. The bioinspired optimization techniques applied to the problem are the bat echolocation and the grey wolf algorithms. The use of these techniques aims at providing a comparative analysis of efficiency. Different reliability indexes are evaluated, which are related to wind farms, in the routing planning. The methodology is applied in wind farms to test the literature for its evaluation and validation. The proposed analyses show that the problem must have an approach by multiobjective optimization models to balance the considered criteria. The obtained results show the importance of inserting the reliability criterion in the evolving process of optimization algorithms to obtain feasible results that can meet the proposed criteria. It is also included the Monte Carlo simulation to evaluate and validate the reliability indexes for the results from the proposed optimization approach. The study is initially based on radial connection topologies due to their simplicity and lower investment cost. Once a radial topology that meets the evaluated criteria is found, this topology is after converted into a segmented radial configuration through the insertion of resources as redundant cables, aiming at the reliability improvement and the minimization of failure effects. The study aims to assess the importance of using the reliability criterion when planning offshore wind farms.