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Sankar Narayan Mahato

Indian Institute of Technology RoorkeeIN
ORCID0000-0002-5842-1604
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11

via OpenAlex

Citations
462

via OpenAlex

Publications
3

About

Sankar Narayan Mahato is a researcher at the Indian Institute of Technology Roorkee, with a focus on applying graph theory to electrical power systems. Over the course of three publications between 2014 and 2016, he has explored the performance analysis and optimization of isolated 3-phase self-excited induction generators using various computational techniques.

Research areas

  • Computer science
  • Electrical engineering
  • Voltage
  • Engineering
  • Physics

Publications (3)

Sorted by most cited.

  1. Performance analysis of isolated 3-phase self excited induction generator using graph theory and PSO technique

    2014

    View DOI
    11 cites

  2. Selection of excitation capacitance for three phase self-excited induction generator using graph theory and differential evolution

    2016

    View DOI
    2 cites

  3. Graph theory based performance analysis of three-phase self-excited induction generator using Differential Evolution

    2016

    View DOI
    1 cites