Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis

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 Ybus 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.

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Publication Details

Journal
International Journal of Computer Applications
Published
2025-08-20
DOI
https://doi.org/10.5120/ijca2025925514
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis

Sanjeev Kumar
International Journal of Computer Applications
Real-time simulation and control systems
article

Vedic Mathematics-Based Acceleration of Y-Bus Matrix Formation for Power System Load Flow Analysis

Sanjeev Kumar
article en

Abstract

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 Ybus 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.

International Journal of Computer ApplicationsVol. 187(30)
Affordable and clean energy
Openalex Percentile: Top 74%
Real-time simulation and control systems
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