Operational Risk Metric for Dynamic Security Assessment of Renewable Generation

Sohom Datta, Vijay Vittal

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The objective of this paper is to explore the efficacy of applying risk-based security assessment (RBSA) to define reliability standards for electricity grids with high penetration of converter-interfaced generation. A novel approach to estimate the impact of transient instability is presented in this paper by modeling several important protection systems in the transient stability analysis. In addition, a probabilistic model is developed to capture the uncertainty of increased converter-interfaced renewable penetration. A synthetic test case is derived from a realistic power system to verify the proposed method. The simulation results show that RBSA not only provides significantly relaxed security limits, but also helps in identifying critical aspects of system reliability that are not possible using conventional deterministic methods.

Original languageEnglish (US)
Article number7486062
Pages (from-to)1389-1399
Number of pages11
JournalIEEE Transactions on Power Systems
Volume32
Issue number2
DOIs
StatePublished - Mar 1 2017

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Electricity
Statistical Models
Uncertainty

Keywords

  • Converter-interfaced generation
  • dynamic security assessment
  • future grid
  • reliability standards
  • risk-based method
  • wind energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Operational Risk Metric for Dynamic Security Assessment of Renewable Generation. / Datta, Sohom; Vittal, Vijay.

In: IEEE Transactions on Power Systems, Vol. 32, No. 2, 7486062, 01.03.2017, p. 1389-1399.

Research output: Contribution to journalArticle

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