DesignLab
  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

Algoritmo GCR para Unidades Consumidoras de Smart Grids de Baja Tensi{\'{o}}n

Sicchar, Jos{\'{e}} R. and {Da Costa T. Jr.

Journal 
 
Autor 
Sicchar, Jos{\'{e}} R. and {Da Costa T. Jr. 
Book Title 
Proc. XVI CLCA 2014 
Volume 
Página(s) 
1295--1300 
DOI 
 
Published 
2014 
Month 
Tipo de Documento 
Conference Proceedings 
Abstract 
This paper presents the results of low voltage smart grid intelligence to energy managing consumption in the final consumers. Which is developing based on specific processing macro-agents with embedded algorithms. This is called Final Management Consumption intelligence and it shows the energy consumption forecast during a future year, based on the history of discrete states energy use, and also the equilibrium power diagnosis between residential feeders. The first Macro-agent is formed by a modeling process based on jump Markov chain to energy forecasting; and the second Macro-Agent by a Mamdani Fuzzy inference for equilibrium phase's diagnosis. The benefits generated by this model among others are: the equilibrium into residential feeders and the power losses decrease on low voltage distributed grid and consequently reducing the risk of burning transformers. Therefore establishes an intelligent automation process for low voltage smart grids. 
Keywords 
EMS Intelligence,Fuzzy Systems.,Macro-agents,Markov Chains,Smart Grids 
Publisher 
 
URL