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

• Autor(a) principal: Araújo, Rômulo Diniz
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: https://ri.ufs.br/handle/riufs/5013
• topic: Energia elétrica - Distribuição; Automação industrial; Controladores programáveis; Algoritmos genéticos; Controladores FACTS; Dispositivos FACTS; Electric power distribution; Genetic algorithms; Programmable controllers; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

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.