Probabilistic Framework for Transient Stability Assessment of Power Systems With High Penetration of Renewable Generation

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 o...

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Bibliographic Details
Published inIEEE transactions on power systems Vol. 32; no. 4; pp. 3078 - 3088
Main Authors Papadopoulos, Panagiotis N., Milanovic, Jovica V.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cluster analysis
Clustering
Generators
Inertia
Penetration
Power system stability
Probabilistic logic
Probabilistic methods
probabilistic transient stability assessment
Probability theory
renewable generation
Robustness
Stability analysis
Stability criteria
Statistical analysis
Transient analysis
Transient stability
uncertainties
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Summary: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.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2016.2630799