A diagnostics tool for risk-based dynamic security assessment of renewable generation

Sohom Datta, Vijay Vittal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic security assessment has been a challenging problem in power systems research with the increased penetration of renewable generation across the electricity grid. Risk-based methods for dynamic security assessment has been proposed to incorporate the uncertainty in the electricity grid. Risk-based methods require extensive time-domain simulations and generate large data sets containing both risk assessment and time domain simulation results. An architecture for a comprehensive user interactive contingency ranking and diagnostics tool for risk-based security assessment is proposed in this paper. This methodology provides a fast and robust approach for analyzing large time domain simulation and risk assessment results. The effectiveness of the tool has been illustrated for two different test systems.

Original languageEnglish (US)
Title of host publication2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538635964
DOIs
StatePublished - Aug 17 2018
Event2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Boise, United States
Duration: Jun 24 2018Jun 28 2018

Other

Other2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018
CountryUnited States
CityBoise
Period6/24/186/28/18

Keywords

  • Contingency analysis
  • Data analytics
  • Dynamic security assessment
  • Renewable generation
  • Risk-based methods

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Statistics, Probability and Uncertainty
  • Energy Engineering and Power Technology
  • Statistics and Probability

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  • Cite this

    Datta, S., & Vittal, V. (2018). A diagnostics tool for risk-based dynamic security assessment of renewable generation. In 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings [8440550] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMAPS.2018.8440550