Database structured model for energy planning applications

Resumo

Actual updated data from the hydroelectric and thermoelectric energy system in Brazil is provided by
the National System Operator (ONS). It is made available as a package of digital files (text and binaries).
Researchers at the Laboratory of Bio-Inspired Technologies and Solutions from Federal University of ABC
(LabBITS - UFABC) implemented a platform for accessing the information of this Brazilian electric power
generation system from a SQL (Structured Query Language) database, regularly updated from the ONS’s provided
package of files. The database is accessed by the laboratory researchers via a REST (Representational State
Transfer) API (Application Programming Interface) which is used to supply the parameters of the energy system
models used in the energy planning calculations for the Energ.IA platform. This paper presents the recent
achievements of the team of under-graduate students, guided by seniors’ researchers of the LabBITS. Students
have developed a Java library which connects with the remote database and pulls the updated power system
parameters to instantiate Java object models and parametrized calculation methods of the Brazilian electricity
generation system. Those models are then used to simulate system operation or in optimization routines within the
Energ.IA platform. A simplified case study is presented to demonstrate its use.