Projects per year
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.
Original language | English |
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Pages (from-to) | 3078-3088 |
Number of pages | 11 |
Journal | IEEE Transactions on Power Systems |
Volume | 32 |
Issue number | 4 |
Early online date | 18 Nov 2016 |
DOIs | |
Publication status | Published - 1 Jul 2017 |
Keywords
- clustering
- probabilistic transient stability assessment
- renewable generation
- uncertainties
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Dive into the research topics of 'Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation'. Together they form a unique fingerprint.Projects
- 2 Finished
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UK-India wide area protection project (Advanced Communication and Control for the Prevention of Blackouts ACCEPT)
Booth, C. (Principal Investigator) & Roscoe, A. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/14 → 31/12/17
Project: Research
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EPSRC Energy Networks Grand Challenge - Autonomic Power System
McArthur, S. (Principal Investigator), Ault, G. (Co-investigator) & Kockar, I. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/11 → 31/10/16
Project: Research