Estratégia de otimização com subsídios para sistemas multienergéticos renováveis: Aplicação em um cemário brasileiro

Authors

  • Letícia C. Favero Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina
  • Vinícius G. Rigon Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina
  • Gustavo A. de Andrade Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina
  • Júlio Elias Normey Rico Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.20906/CBA2024/4311

Keywords:

Brazilian Electric System, Multi-energy System, Day-ahead, Renewable Energies, Government Subsidies, Game Theory, Nash Equilibrium

Abstract

This article explores the role of government subsidies in promoting clean energy sources within a diverse Brazilian energy market. Focusing on the short-term market, where a variety of energy sources—including wind, solar, and thermoelectric—contribute to the energy supply, effective bidding strategies are crucial for maximizing the profits of energy producers in a price formation scenario based on offers. To address these challenges, the article proposes an application in the Brazilian context of bi-level optimization algorithms grounded in Game Theory, using real data from the National System Operator (ONS). These studies aim to enhance the efficiency and market dynamics of the Brazilian electrical system, supporting decision-making to meet the country’s energy needs in a context of modernization and improvement of this sector.

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Published

2024-10-18

Issue

Section

Articles