ࡱ> -/,%bjbjUU >??% ''''; 'B0GGGGGG*q rZGGGGGGG*'0Bnnn@Bn :RESUMO O agendamento de intervenes em redes eltricas (AIRE) um problema enfrentado comumente pela operao dos sistemas eltricos de potncia. Em sistemas interligados, como o Sistema Interligado Nacional (SIN), diversos agentes programam desligamentos para fins de manuteno de seus equipamentos e encaminham requisies de tais intervenes ao operador do sistema. Cabe ento a este o desafio de conciliar as requisies solicitadas com a operao segura do sistema. Diferentes restries operativas devem ser avaliadas de modo a levar a uma programao que atenda, da melhor forma possvel, as requisies dos agentes. Assim sendo, o AIRE pode ser entendido como um problema de otimizao com restries. A complexidade deste problema, caracterizada pela forte relao de dependncia entre suas variveis e alto custo da avaliao das solues propostas, torna interessante o uso de meta-heursticas. Esta Tese prope uma metodologia para a obteno de solues adequadas ao problema do AIRE, utilizando um algoritmo evolutivo (AE). Diversas tcnicas e estratgias so propostas para lidar com o alto custo da funo de avaliao de cada soluo, preservando a qualidade das solues obtidas. O processo de otimizao busca obter um agendamento que apresente o mnimo desvio em relao ao solicitado pelos agentes, respeitando as prioridades de cada interveno e, ao mesmo tempo, garantindo uma operao adequada e segura, tanto do ponto de vista esttico quanto dinmico. Resultados de testes obtidos com os sistemas IEEE 14, 30, 57 e 118 barras e com parte (45 barras) do SIN so apresentados e discutidos. Palavras-Chave: Algoritmos Evolutivos; Agendamento; Operao de Sistemas Eltricos de Potncia. ABSTRACT The network outages scheduling (NOS) is a problem commonly faced by power system operation. In interconnected power systems, such as the Brazilian National Interconnected System (SIN), agents sometimes need to disconnect transmission equipment from the grid for scheduled maintenance and send their requests to the independent system operator (ISO). The ISO has the challenging task of conciliating these requisitions in order to ensure a secure system operation. Different constraints should be taken into account so as to achieve an outage schedule that better suits the agents requests. Therefore, the NOS can be seen as a constrained optimization problem. The complexity of this problem, characterized by the strong dependency among its variables and high cost of solution evaluation, makes the application of metaheuristics an interesting approach. This Thesis proposes a methodology to provide adequate solutions to the NOS problem, by making use of an evolutionary algorithm (EA). Different techniques and strategies are proposed to deal with the high cost of the evaluation function of each solution, preserving the quality of obtained solutions. The optimization process aims to obtain an outage schedule that presents minimal deviations from the one requested by the agents, while ensuring that power system operation is adequate and secure, from the static and dynamic point of view. Results obtained from simulations performed using the IEEE 14-, 30-, 57- and 118-bus systems, as well as on the SIN 45-bus system, are presented and discussed. Keywords: Evolutionary Algorithms; Scheduling; Power Systems Operation.  > t w Xfgh/3s˽ְwldlYdYdYdYdh hMmH sH hMmH sH h).hMmH sH "h hM5CJ\aJmH sH &h hM5CJ\^JaJmH sH h hM^JhM56\]hA hM56\]hA hM56>*\]hM56>*\]hM h).hM h hMhM5CJ\^JaJhM5CJ\aJ" v w WX$%gd(gd( $*$a$gd(&d*$Pgd(O;CPgl  "#$%ڠ hM^JhM56\]hA hM56\]hMhA hM56>*\]hM56>*\]h hM^JhM^JmH sH hMmH sH h hMmH sH <P1h:p=. 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