Structured Model for Hydrothermal System Operation and Optimization

Autores

  • Guilherme Sanches da Silva UFABC - Fundação Universidade Federal do Abc
  • Patricia Teixeira Leite Asano Laboratory of Bio-Inspired Technologies and Solutions (LabBITS) at Federal University of ABC (UFABC)
  • Roberto Asano Junior Laboratory of Bio-Inspired Technologies and Solutions (LabBITS) at Federal University of ABC (UFABC)
  • Thales Cunha da Paixão Laboratory of Bio-Inspired Technologies and Solutions (LabBITS) at Federal University of ABC (UFABC)

DOI:

https://doi.org/10.55592/cilamce.v6i06.10186

Palavras-chave:

Energy operation, Hydrothermal systems, Genetic algorithms

Resumo

This paper presents an analysis for optimizing hydrothermal system operation within the Brazilian energy sector.
In the last years, researchers at the Laboratory of Bio-Inspired Technologies and Solutions from Federal University of ABC (LabBITS - UFABC) have been implementing a platform for accessing the information of this Brazilian electric power generation system from a SQL (Structured Query Language) database, regularly updated from the ONSs 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 operation planning calculations.
In 2024, utilizing Java object models for hydroelectric power plants, a structured approach was developed, organizing plants into power plant systems to capture the interdependencies between flow data and storage of water in reservoirs throughout a cascade and across time.The simulation technique of genetic algorithms was then applied to test the structure for optimal operating schedules. Different populations of solutions were tested, considering the maximization of energy generation.

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Publicado

2024-12-02

Edição

Seção

Developments and applications on wind energy and renewable