Método Simplificado de Desagregação de Energia Aplicado a Redes contendo Prossumidores

Dionathan S. Scheid; Sérgio Haffner; Bibiana P. Ferraz; Luís Alberto Pereira; Mariana Resener; Eduardo Finck

doi:10.20906/sbai.v1i1.2693

Dionathan S. Scheid Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Sérgio Haffner Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Bibiana P. Ferraz Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Luís Alberto Pereira Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Mariana Resener Programa de Pós-Graduação em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Eduardo Finck Engenharia de Energia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS

DOI: https://doi.org/10.20906/sbai.v1i1.2693

Keywords: Distribution Systems, Photovoltaic Systems, Distributed Generation, Demand Forecasting, Load Profile, Prosumer, Net Metering

Abstract

The present work proposes a new, simplified method for estimating the total consumption and generation of prosumers with a monthly net metering. Initially, the characteristics of electric energy measurement systems are presented, as well as the norms that regulate distributed generation in Brazil. Next, a new method is presented and detailed for energy disaggregation of monthly net metering. The method allows the estimation of a daily load and generation profiles for consumers and prosumers, using a reference generation based on climate data, a seasonality factor that describes the variation of consumption throughout the year, and an efficiency factor that describes the characteristics of each consumer unit with distributed generation. Finally, practical results obtained with the proposed method applied to prosumers located in South Brazil are presented and discussed. These results reveal not only a close agreement between the measured and estimated monthly consumed and injected energy but also the method is enough accurated for practical purposes.