Comparação de Métodos de Armazenamento de Matrizes para o Melhoramento da Simulação em Tempo Real de Redes Elétricas

  • Raphael Dantas Pinho Programa de Pós-graduação em Modelagem Matemática e Computacional, Universidade Federal da Paraíba, PB
  • Pedro A. de Alcântara Programa de Pós-graduação em Engenharia Elétrica, Universidade Federal da Paraíba, PB
  • Luciano Sales Barros Departamento de Sistemas de Computação, Universidade Federal da Paraíba, PB
  • Camila Mara Vital Barros Departamento de Sistemas de Computação, Universidade Federal da Paraíba, PB
Keywords: RTDS, Electrical Network, Modeling, Storage Methods, Equation System, Sparse Matrices, Iterative Methods, Real Time


The real-time digital simulation (RTDS) of electrical networks is an important analysis tool, with applications in the operation, design, planning and expansion of electrical systems. To make RTDS viable, it is necessary to perform a computational modeling of the electrical network components and their characteristics, from energy generation and distribution and transmission circuits, to loads. This modeling represents a major obstacle for RTDS, since it consists of solving systems of large linear equations. In this work, five array storage methods are compared: Compressed Sparse Row (CSR), Compressed Sparse Column (CSC), Compressed Sparse Vector (CSV), Skyline and DFA2, which were used in association with the iterative methods of Jacobi and Gauss-Seidel to obtain the solutions of the system of equations that describe the behavior of the electrical network. The results obtained showed that the use of CSR storage techniques with the iterative methods will contribute to improve the performance of RTDS.