Aplicação de otimização por enxame de partículas no projeto de linhas de transmissão aéreas de extra alta tensão

Abstract

This paper presents the implementation of the Particle Swarm Optimization (PSO) algorithm in the design of transmission lines. The main objective is to highlight the benefits of using the algorithm to navigate a complex scenario in the evaluation of the expansion of extra-high voltage overhead lines, finding the best alternative for cost reduction, considering a set of possibilities for the number of conductors per bundle, variation in the cross-section of the conductors and spacing of the geometric arrangement of the bundle. The applicability of the proposed tool was motivated by two case studies for transmission line scenarios in countries with substantial territorial extension, whose results proved its viability as a support for the design of transmission lines. The application of the (PSO) proved to be effective in the optimization of design variables, such as gauge, number of subconductors and spacing, allowing the identification of configurations that balance costs and electrical performance. The developed tool allows the structured recording of input parameters, the documentation of the results obtained and the comparative analysis between alternatives. Thus, it contributes to the technical-economic planning of new lines, allowing for the reduction of losses, maximization of transmission capacity and greater efficiency in the use of resources. Thus, the use of meta-heuristic methods such as PSO represents a promising alternative to assist engineers and planners in decision-making in electric power transmission systems.