Shashank Vyas

Dr. Shashank VyasDSC_0115

  • Centre for Energy and Environment, MNIT Jaipur
  • PROJECT: Predictive Grid Analytics for  Preemptive Islanding Detection in Solar PV Distributed Generation Systems funded by MNRE, Govt. of India (National Renewable Energy Fellow)
  • Pursuing Ph.D. in CEE in MNIT Jaipur (July 2014 – February 2018);
    Final Defense on 29-01-2018
  • Supervisors: Dr. Rajesh Kumar and Dr. Rajesh Kavasseri (NDSU, USA)
  • Currently employed at The Energy and Resources Institute (TERI), Delhi India

Research Areas:

Patents

National Patent Published:

Dr. Rajesh Kumar and Shashank Vyas, ”Intelli-Island: A Smart Preemptive Islanding
Detection and Mode-Change Triggering Logic for Grid-Connected Solar PV Inverters”,
201611015180, Indian Patent Oce Journal 23/2016, June 2016.

Publications

A. International Journal  Articles:

  •  Shashank Vyas and Rajesh Kumar, “Computational Geometry based Methodology for Identication of Potential Islanding Initiators in High Solar PV Penetration Distribution Feeders”, IET Renewable Power Generation, Volume 12, Issue 4, March 2018, pp. 456-462.
  • Shashank Vyas and Rajesh Kumar, “Identication of Potential Islanding Initiators in Radial Feeders with High Solar PV Penetration for Preemptive Preparedness”, 12th IEEE International Conference on Industrial and Information Systems, Peradeniya, December 2017, pp. 1-6
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Multivariate Statistics and
    Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-
    Tied Solar PV Systems”, Applied Computational Intelligence and Soft Computing,
    Volume 2016, March 2016, Hindawi Publishing Corporation [SC Indexed; Impact
    Factor N.A.]
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Data Analytics and Com-
    putational Methods for Anti-islanding of Renewable Energy Based Distributed
    Generators in Power Grids”, Renewable and Sustainable Energy Reviews, Volume
    69, March 2017, pp. 493-502, Elsevier [SC Indexed; Impact Factor 8.050]
  • Shashank Vyas and Rajesh Kumar, ”A Computational Geometry based Methodol-
    ogy for Identication of Potential Islanding Initiators in High Solar PV Penetration
    Distribution Feeders”, IET Renewable Power Generation [Revision submitted]
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Unsupervised Learning in
    Islanding Studies: Applicability Study for Predictive Detection in High Solar PV
    Penetration Distribution Feeders”, IEEE Transactions on Industry Applications
    [Invited paper; In Review]
  • Shashank Vyas and Rajesh Kumar, “Online Classication Module for Identication of Potential Causes of Unintentional Islanding in High Solar PV Penetration Distribution Networks”, IEEE Transactions on Emerging Topics in Computational Intelligence [Under Review]

B. International Conference Papers

  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Observations from Study
    of Pre-Islanding Behaviour of Solar PV Systems Connected to a Distribution Net-
    work”, Proceedings of the 4th International Conference on Advances in Comput-
    ing, Communication and Informatics (ICACCI), Kochi, August 2015, pp. 645-650
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Exploration and Investiga-
    tion of Potential Precursors to Unintentional Islanding in Grid-Tied Solar Photo
    Voltaic Systems”, Proceedings of the IEEE International Conference on Energy
    Systems and Applications (ICESA), Pune, October 2015, pp. 577-582
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”A Framework for Inves-
    tigative Analysis of Islanding and Pre-islanding Behaviour of Solar PV Inverters
    Connected to Distribution Grids”, Proceedings of the IEEE IAS Joint Industrial
    and Commercial Power Systems / Petroleum and Chemical Industry Conference
    (ICPSPCIC), Hyderabad, November 2015
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Statistical Identication
    and Classication of Potential Islanding Precursors in a Grid-Connected Solar
    Photo Voltaic System”, Proceedings of the 6th IEEE International Conference on
    Power Systems (ICPS), New Delhi, March 2016, pp. 1-6
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Unsupervised Learning in
    Islanding Studies: Applicability Study for Predictive Detection in High Solar PV
    Penetration Distribution Feeders”, Proceedings of the 3rd IEEE UP Section Inter-
    national Conference on Electrical, Computer & Electronics Engineering, Varanasi,
    December 2016, pp. 361-366
  • Shashank Vyas, Rajesh Kumar and Rajesh Kavasseri, ”Preemptive Mode-Change
    Triggering for Inverters in Response to Unintentional Islanding Situations in High
    Solar PV Penetration Distribution Networks”, Proceedings of the 2016 IEEE Inter-
    national Conference on Power Electronics, Drives and Energy Systems (PEDES),
    Trivandrum, December 2016, pp. 1-6
  • Shashank Vyas and Rajesh Kumar, ”Identication of Potential Islanding Initiators
    in Radial Feeders with High Solar PV Penetration for Preemptive Preparedness”,
    12th IEEE International Conference on Industrial and Information Systems, Per-
    adeniya [Accepted]

Awards, Activities and Responsibilities

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