Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation

Panagiotis N. Papadopoulos, Jovica V. Milanović

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

This paper introduces a probabilistic framework for transient stability assessment (TSA) of power systems with high penetration of renewable generation. The critical generators and areas of the system are identified using a method based on hierarchical clustering. Furthermore, statistical analysis of several transient stability indices is performed to assess their suitability for TSA of reduced inertia systems. The proposed framework facilitates robust assessment of transient stability of uncertain power systems with reduced inertia.

LanguageEnglish
Pages3078-3088
Number of pages11
JournalIEEE Transactions on Power Systems
Volume32
Issue number4
Early online date18 Nov 2016
DOIs
Publication statusPublished - 1 Jul 2017

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Statistical methods

Keywords

  • clustering
  • probabilistic transient stability assessment
  • renewable generation
  • uncertainties

Cite this

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Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation. / Papadopoulos, Panagiotis N.; Milanović, Jovica V.

In: IEEE Transactions on Power Systems, Vol. 32, No. 4, 01.07.2017, p. 3078-3088.

Research output: Contribution to journalArticle

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