ANÁLISE TÉCNICO-ECONÔMICA DO IMPACTO DOS PSS E CONTROLADORES FACTS NA ESTABILIDADE ELETROMECÂNICA DE SISTEMAS DE ENERGIA ELÉTRICA

• Ano de defesa: 2014
• Autor(a) principal: Costa Filho, Raimundo Nonato Diniz
• Orientador(a): PAUCAR, Vicente Leonardo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: Engenharia
• País: BR
• Palavras-chave em Português: Sistemas de energia elétrica; Controladores FACTS; Estabilizador de sistemas de potência (PSS); Estabilidade eletromecânica; Inteligência artificial
• Palavras-chave em Inglês: Electrical power systems; FACTS Controllers; Power System Stabilizer (PSS); Electromechanical stability; Artificial intelligence
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/512

In this work the influence of FACTS (Flexible AC Transmission Systems) Controllers and power system stabilizers (PSS) on electromechanical stability of electrical power systems (EPS) is analyzed considering their technical and economic impact in the operation and planning. FACTS Controllers most employees in practical applications were considered in this study, the Static VAr Compensator (SVC) and Thyristor Controlled Series Capacitor (TCSC), in addition to the PSS. For the technical and economic evaluation of the impact of FACTS and PSS in power systems a methodology based on indices of electromechanical small-signal and transient stability has been developed. Software packages PacDyn and ANATEM, including ANAREDE, all produced by CEPEL (Centro de Pesquisas de Energia Elétrica), were used to analyze the technical impact of SVC, TCSC and PSS on electromechanical stability enhancement. The economic analysis was based on the use of software package PSAT (Power Systems Analysis Toolbox). As part of the technical evaluation, coordination and tuning of the parameters of PSS and FACTS Controllers were conducted using artificial intelligence techniques in order to obtain the best optimal values. The proposed methodology was applied to test systems and a configuration of the Brazilian Interconnected System (SIN - Sistema Interligado Nacional) modeled with 50 generators and 616 buses.