Desenvolvimento de um sistema distribuído de identificação em tempo real de parâmetros de qualidade de energia elétrica

• Ano de defesa: 2012
• Autor(a) principal: Menezes, Ramon Maciel
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial
• Palavras-chave em Português: Energia elétrica - Controle de qualidade; Sistemas operacionais distribuídos (Computadores); Algorítmos; Processamento eletrônico de dados em tempo real; Detectores; Métodos de simulação; Electric power - Quality control; Distributed operating systems (Computers); Algorithms; Real-time data processing; Detectors; Simulation methods
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/508

The present document includes a comprehensive literature review on power quality issues, to keep the development of this project aligned with national and international standards related; simulation algorithms such as FFT and CFA in order to verify the feasibility of its use, as well as limitations associated with the processing of strongly distorted waveform. It also includes the proposal and verification of an algorithm able to calculate the indices (selected during the standards review) that could assess the power quality through voltage and current signals. For prototype development, voltage and current sensors were selected for reliable acquisition system; a DSP, which running the previously simulated algorithms in order to process in real time the acquired voltage and current signals provided by sensors in order to report the status of the mains grid and/or events occurrence on the network through a ZigBee module, responsible for safety transmission data. The short term voltage change events class was also included in the real time processing performed by the DSP. Due to the unpredictability and short duration of these events, it was developed a tool capable of generating this class of events, the STVC generator. The PQ analysis in real time was feasible even with the use of low cost devices, allowing, although with some limitations, the survey of PQ information which known loads was submitted.