Optimization of Load Frequency Control parameters In hydro-wind sys- tems using Manta Ray Foraging Optimization

Autores

  • Gabriel Schreider da Silva Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil
  • Lucas Santiago Nepomuceno Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil
  • Edimar Jose de Oliveira Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil
  • Arthur Neves de Paula Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil
  • Leonardo Willer de Oliveira Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil
  • Ivo Chaves da Silva Junior Dept. of Energy, Federal University of Juiz de Fora, Minas Gerais, Brazil

Palavras-chave:

Manta Ray Foraging Optimization, nonlinear programming, Load Frequency Control, Wind generation, Hydro generation

Resumo

This work proposes a novel hybrid optimization approach combining nonlinear programming and the Manta Ray Foraging Optimization (MRFO) metaheuristic to optimize the controller parameters of the hydro-wind interconnected power system to improve the Load Frequency Control (LFC). The optimization process addresses challenges posed by integrating wind power into power grids due to its limited inertia, which hampers natural inertial response. The research focuses on incorporating wind generation into Load Frequency Control (LFC) utilizing the Virtual Synchronous Generator (VSG) technique and operational adjustments. In this way, this work contributes to improving LFC efficiency in mixed power generation setups by introducing a hybrid method that surpasses the limitations of traditional controllers, enhancing the equilibrium between power generation and demand.

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Publicado

2024-04-26

Edição

v. 5 n. 05 (2023): CILAMCE 2023

Seção

M10 Computational Intelligence Techniques for Optimization and Data Modeling

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