Otimização de parâmetros do Controle Carga-Frequência de sistemas hidro-eólicos utilizando Manta Ray Foraging Optimization

Authors

  • Gabriel Schreider da Silva Faculdade de Engenharia Elétrica, Universidade Federal de Juiz de Fora, MG
  • Lucas Santiago Nepomuceno Faculdade de Engenharia Elétrica, Universidade Federal de Juiz de Fora, MG
  • Edimar José de Oliveira Faculdade de Engenharia Elétrica, Universidade Federal de Juiz de Fora, MG
  • Leonardo Willer de Oliveira Faculdade de Engenharia Elétrica, Universidade Federal de Juiz de Fora, MG
  • Arthur Neves de Paula Faculdade de Engenharia Elétrica, Universidade Federal de Juiz de Fora, MG

Keywords:

Wind power, Optimization, Load Frequency Control, Hydroelectric energy, Virtual Synchronous Generator

Abstract

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.

Downloads

Published

2024-10-18

Issue

Vol. 4 No. 1 (2024): CBA2024

Section

Articles