Aplicações De Sistema De Monitoramento De Consumo De Energia Elétrica Para Unidades Consumidoras Conectadas Em Média Tensão

• Ano de defesa: 2019
• Autor(a) principal: Correia, Arthur Nunes Ferreira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Monitoramento de energia; Eficiência energética; Internet das coisas; Cadeias de markov; Criptomoedas; IOTA
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/64125

In Brazil, there are approximately 82 million consumers connected in low and medium voltage grid, consuming approximately 320 thousand GWh annually, according to ANEEL. Although the connected medium voltage units represent only 0.2% of the total number of units, their total consumption represents approximately 25% of total consumed. such units have greater billing complexity. Therefore, the large volume of electric energy consumed by these units, as well as the various factors involved in their charging can cause financial and energy waste. Considering these points, this work presents an energy consumption monitoring system for units connected in medium voltage, in order to promote to the system user a greater knowledge about its consumption of electricity and possibly to provide a reduction in the amount spent monthly. The developed system acquires data directly from the electronic meter used by the local distribution system operator, dismissing the need for sensors and making the system with optimum accuracy. In addition, it considerably reduces the cost of its development. An ESP32 microcontroller is used to acquire and send data, and a Ruby application was developed for data processing and visualization. The system was installed in the Teleducation Foundation of Ceará, and provided a reduction in the amount spent of energy bill of approximately 10%. Other applications of the monitoring system are presented. Firstly, a data analysis is performed for the generation of load profile models using Markov chains. Then an energy trading system using the IOTA cryptocurrency is analyzed and implemented.