International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 187 - Issue 30 |
Published: August 2025 |
Authors: Sharannya Kumar |
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Sharannya Kumar . Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis. International Journal of Computer Applications. 187, 30 (August 2025), 1-3. DOI=10.5120/ijca2025925514
@article{ 10.5120/ijca2025925514, author = { Sharannya Kumar }, title = { Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 187 }, number = { 30 }, pages = { 1-3 }, doi = { 10.5120/ijca2025925514 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Sharannya Kumar %T Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis%T %J International Journal of Computer Applications %V 187 %N 30 %P 1-3 %R 10.5120/ijca2025925514 %I Foundation of Computer Science (FCS), NY, USA
This paper explores the integration of Vedic Mathematics (VM) techniques into the computation of Y-bus matrices for load flow analysis in power systems. Load flow studies are vital for efficient power system planning, operation, and reliability. This work compares conventional and Vedic approaches for Y-bus matrix formation using MATLAB simulations. Two key Vedic Sutras, Ekadhikena Purvena and Anurupee, were employed to enhance computational efficiency. Simulation results on small-scale test systems show consistent improvements in computation time using the Vedic approach. Although marginal in smaller systems, the time reduction is expected to scale significantly for larger networks. The study reinforces the feasibility of embedding ancient computational principles into modern engineering frameworks.