Electrical customer profile using fuzzy logic theory

• Autor(a) principal: Abreu, Thays
• Data de Publicação: 2020
• Outros Autores: Minussi, Carlos Roberto [UNESP], Lopes, Mara L. M. [UNESP], Alves, Uiliam Nelson L., Lotufo, Anna Diva P. [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/TLA.2020.9111670; http://hdl.handle.net/11449/201873
• topic: Fuzzy logic theory; Peak time; Residential consumer; Residential load curve

Considering the increasing electrical energy demand in residences, it is necessary to know the detailed pattern of electricity use, to change the behavior of the final consumer and to reduce the global consumption. Knowing the load curve profile in advance is very important for detecting the peaks and valleys to change habits of energy consumption, principally during periods when the prices are lower, i.e., following the electrical power industry opportunities. This work studies how the consumer behaves individually, as well as identifies similarities with other consumers. Thus, we herein propose a procedure for obtaining the residential load profile using fuzzy-logic theory. As the residential electrical energy consumption is highly correlated to the active occupation, the quantity of dwellers and the different periods of the day for typical consumers are considered. However, the ideas presented in this work can be applied to other regions in different countries. To verify the efficiency of the proposed system, the obtained results are compared with real load curves.