DATABASE TO SUPPORT ENERGY PLANNING APPLICATIONS

Resumo

Currently, obtaining updated real data for analyzes related to the generation of hydroelectric
and thermoelectric energy in Brazil is only accessible through the database provided by the National
System Operator (ONS), by means of a file package used in the computational model NEWAVE (Long
and Medium Term Interconnected Hydrothermal Systems Operation Planning Model). NEWAVE was
developed to determine the optimal operation policy for the hydrothermal power system, but working
with this information in a direct way is practically impossible, which makes it difficult to carry out new
studies by industry and academia. Opposing this difficulty, researchers at the Laboratory of Technologies
and Bioinspired Solutions of the Federal University of ABC (LabBITS) implemented an open platform
for general access of the information of the Brazilian electric power generation system, where the main
objective was to concatenate all the information to foment the studies with different operative scenarios
referring to the energetic planning in Brazil. The data is constantly updated with files from the Electric
Energy Trading Chamber (CCEE) database. The data was reorganized through JAVA programming
language and was recorded in a new single database with MySQL as a template, to facilitate the reading
and recording of study’s input data and results. From this organization, a visual query platform is being
developed to support the development of modules for the determination of optimal generation within a
bioinspired computational platform called Energ.IA. 1