Otimização do fluxo de potência utilizando algoritmo prim e genético
The growing demand for electrical energy and the need to improve the efficiency of distribution systems have driven innovative research, especially in countries like Brazil, which face significant energy challenges. An approach for the Reconfiguration of Electricity Distribution Systems in the Brazi...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Universidade Estadual do Oeste do Paraná (UNIOESTE) |
| Repositorio: | Biblioteca Digital de Teses e Dissertações do UNIOESTE |
| Idioma: | portugués |
| OAI Identifier: | oai:tede.unioeste.br:tede/7340 |
| Acceso en línea: | https://tede.unioeste.br/handle/tede/7340 |
| Access Level: | acceso abierto |
| Palabra clave: | Reconfiguração de sistemas de distribuição Algoritmo PRIM Algoritmo genético Multistart Reconfiguration of distribution systems Prim's algorithm Genetic algorithm Multi-Start ENGENHARIAS::ENGENHARIA ELETRICA |
| Sumario: | The growing demand for electrical energy and the need to improve the efficiency of distribution systems have driven innovative research, especially in countries like Brazil, which face significant energy challenges. An approach for the Reconfiguration of Electricity Distribution Systems in the Brazilian energy context is being used by combining different techniques such as the PRIM Algorithm, Multistart and Genetic Algorithm. Brazil is a country with an extensive electrical energy distribution network, covering urban areas as well as rural regions. This geographic and demographic diversity presents unique challenges to reliable and efficient electrical power across the country. Combining techniques allows you to explore a wider and more diverse search space to find overwhelming results. The preliminary results of this research indicate that this combination can lead to significant improvements in electrical energy distribution systems in Brazil. The results were obtained using 14, 33, 84, 136, and 415 bus systems. |
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