Seleção e alocação de dispositivos limitadores de corrente de curto-circuito utilizando o algoritmo evolucionário multiobjetivo NSGA-II
The working condition of the electrical transmission systems is a factor that takes a lot of concern among energy suppliers and users. To maintain appropriate conditions for operation of the system is important in all aspects. For this purpose, several devices are used, monitoring and protection ele...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Brasil |
| Institución: | Universidade Federal de Sergipe (UFS) |
| Repositorio: | Repositório Institucional da UFS |
| Idioma: | portugués |
| OAI Identifier: | oai:oai:ri.ufs.br:repo_01:riufs/5024 |
| Acceso en línea: | https://ri.ufs.br/handle/riufs/5024 |
| Access Level: | acceso abierto |
| Palabra clave: | Engenharia elétrica Sistemas de energia elétrica Sistemas de energia elétrica - proteção Sistemas de energia elétrica - otimização Curtos-circuitos Algoritmos genéticos Disjuntores elétricos Algoritmo genético multiobjetivo Alocação de dispositivos limitadores de corrente Curto-circuito Multiobjective genetic algorithm FCLs allocation Short circuit ENGENHARIAS::ENGENHARIA ELETRICA |
| Sumario: | The working condition of the electrical transmission systems is a factor that takes a lot of concern among energy suppliers and users. To maintain appropriate conditions for operation of the system is important in all aspects. For this purpose, several devices are used, monitoring and protection electrical devices, for example. These include the fault current limiter, with this device you can limit the fault current in the bus or lines of the electrical system. In this work, it is proposed to accomplish the selection and allocation of fault current limiters devices in electrical systems to minimize the short-circuit current, considering the device cost and the cost due to technical losses. For this, it has been used the multi-objective genetic algorithm NSGA-II for his known efficiency in optimization problems in electrical systems. The proposed algorithm was applied in benchmark systems, a 30-bus and a 57-bus, and the systems were simulated with and without the presence of the devices for comparison and validation of results. |
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