A probabilistic index for estimating frequency response of a power system with high wind power penetration

Masood, Nahid-Al, Yan, Ruifeng and Saha, Tapan Kumar (2014). A probabilistic index for estimating frequency response of a power system with high wind power penetration. In: 2014 International Conference on Electrical and Computer Engineering (ICECE). 8th International Conference on Electrical and Computer Engineering (ICECE 2014), Dhaka, Bangladesh, (583-586). 20-22 December 2014. doi:10.1109/ICECE.2014.7026836

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Author Masood, Nahid-Al
Yan, Ruifeng
Saha, Tapan Kumar
Title of paper A probabilistic index for estimating frequency response of a power system with high wind power penetration
Conference name 8th International Conference on Electrical and Computer Engineering (ICECE 2014)
Conference location Dhaka, Bangladesh
Conference dates 20-22 December 2014
Convener Taifur Ahmed Chowdhury
Proceedings title 2014 International Conference on Electrical and Computer Engineering (ICECE)
Journal name 8th International Conference on Electrical and Computer Engineering: Advancing Technology for a Better Tomorrow, ICECE 2014
Place of Publication Piscataway, NJ, Unitd States
Publisher IEEE
Publication Year 2014
Sub-type Fully published paper
DOI 10.1109/ICECE.2014.7026836
ISBN 9781479941667
9781479941674
Start page 583
End page 586
Total pages 4
Language eng
Formatted Abstract/Summary
Frequency response is a key concern for power system security. Usually, it is estimated in a deterministic approach. But in most cases, power systems behave stochastically. Moreover, presence of wind power imposes further variability on generation profile of a power system. Hence, it appears more pragmatic to address these uncertainties during an evaluation of frequency response. This paper develops an index to assess frequency response of a power system with high wind power penetration. A probabilistic method is used for this purpose. K-means algorithm, a well-known data mining technique is employed. The developed index is called a `probabilistic frequency response index'. A realistic interconnected power system is investigated for a case study. Impact of increased wind power penetration on probabilistic frequency response index is analysed.
Keyword Frequency response
Wind power
K-means algorithm
Inertia
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Sat, 28 Feb 2015, 01:18:17 EST by Nahid-al Masood on behalf of School of Information Technol and Elec Engineering