Alocação e ajuste ótimos de dispositivos facts em sistemas de distribuição de energia elétrica utilizando algoritmos genéticos

Electrical transmission and distribution systems of most concern are based on keeping system working within its operational thresholds considering as little loss as possible. For this purpose, several electrical and electronics equipments, mostly automatic ones have been used, including voltage regu...

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Detalles Bibliográficos
Autor: Araújo, Rômulo Diniz
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2014
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/5013
Acceso en línea:https://ri.ufs.br/handle/riufs/5013
Access Level:acceso abierto
Palabra clave:Energia elétrica - Distribuição
Automação industrial
Controladores programáveis
Algoritmos genéticos
Controladores FACTS
Dispositivos FACTS
Electric power distribution
Genetic algorithms
Programmable controllers
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Descripción
Sumario:Electrical transmission and distribution systems of most concern are based on keeping system working within its operational thresholds considering as little loss as possible. For this purpose, several electrical and electronics equipments, mostly automatic ones have been used, including voltage regulators, capacitor banks, synchronous compensators and more recently in ongoing researches, FACTS devices (Flexible Alternative Current Transmission Systems), also called D-FACTS (Distributed FACTS), according to some authors, when applied to electrical distribution systems. With FACTS it is possible to get operational thresholds regulation more precisely, because its parameters adjustment is continuous (not discrete) and it is accomplished automaticaly. Considering these issues, this work aims at proposing optimal allocation and ajustment of STATCOM (Static Synchronous Compensator), SSSC (Static Synchronous Series Compensator) and UPFC (Unified Power Flow Controller) devices in distribution systems in order to minimize technical losses. For its accomplishment, genetic algorithms were used for their acknowledged efficacy at solving optimization problems in electrical systems. The load flow program here developed uses Power Summation Method (PSM) for its best performance at distribution systems. Mathematic models of devices were presented in details so that the inclusion of PSM controllers has been established. The proposed algorithm was applied to 34, 37, 66 and 104 nodes test feeders and systems were simulated with and without FACTS devices so as to enable comparison.