Projeto simultâneo do regulador automático de tensão e estabilizador de sistema de potência utilizando otimização por enxame de partículas modificado

• Ano de defesa: 2019
• Autor(a) principal: Rodrigues, Frank Wesley
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Engenharia Elétrica; Programa de Pós-Graduação em Engenharia Elétrica; UFPB
• Palavras-chave em Português: Controle ótimo; Regulador automático tensão; etabilizador sistema potência; Otimização por enxame partícula modificado; Great control; Automatic voltage regulator; Stabilizer system power; Modified particle swarm optimization; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/123456789/19434

This work presents the optimum control design for simultaneous determination of control parameters associated with voltage regulation and increased damping of the oscillations in the synchronous generator using the Particle Swarm Optimization (PSO) technique with modifications proposals. In this work it is possible to verify in detail how to use the proposed algorithm for efficient research of the best parameters of the Automatic Voltage Regulator (AVR) and the Power System Stabilizer (PSS) for an Infinite Bus Machine System (SMIB) and Anderson’s 9-Bus system. The proposed modifications in classical PSO are represented by changes in the calculation of the inertia factor of the algorithm. The values found were compared with the parameters obtained using conventional tuning techniques, based on linearized differential equation models and also with classical PSO technique. For the analysis of the performance of the controls, an objective function based on the system time response was used. Analysis of the simulation results with the proposed method showed that the modifications performed provided a better performance of the algorithm, standing out for its simplicity, stable convergence characteristic and fast adjustment of the parameters of the AVR and PSS optimal controller.