Multi-Core Platform of Admittance Matrix Formation of Power Systems: Computational Time Assessment
MetadataShow full item record
Original versionGonzalez-Longatt, F., Acosta, M. N., Andrade, M., Vazquez, E., Chamorro, H. R., & Sood, V. K. (2020). Multi-Core Platform of Admittance Matrix Formation of Power Systems: Computational Time Assessment. In 2020 IEEE Electric Power and Energy Conference (EPEC) https://doi.org/10.1109/EPEC48502.2020.9320060
This paper presents a comparison of computational time required to build the admittance matrix of five test systems (ranging from 200 to 70,000 nodes) considering two formation approaches: element-by-element and matrix approach. The algorithms have been implemented in MATLAB ™ and tested in four multi-core platforms. Implementations include sparse and dense matrix representation and parallel/non-parallel computing. Results show the matrix approach considering sparse representation and parallel computing is the best approach in computing time.