Wide-area measurement signal-based stabiliser for large-scale photovoltaic plants with high variability and uncertainty

Shah, Rakibuzzaman, Mithulananthan, Nadarajah, Lee, Kwang Y. and Bansal, Ramesh C. (2013) Wide-area measurement signal-based stabiliser for large-scale photovoltaic plants with high variability and uncertainty. IET Renewable Power Generation, 7 6: 614-622. doi:10.1049/iet-rpg.2013.0046

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Author Shah, Rakibuzzaman
Mithulananthan, Nadarajah
Lee, Kwang Y.
Bansal, Ramesh C.
Title Wide-area measurement signal-based stabiliser for large-scale photovoltaic plants with high variability and uncertainty
Journal name IET Renewable Power Generation   Check publisher's open access policy
ISSN 1752-1416
1752-1424
Publication date 2013-08-16
Year available 2013
Sub-type Article (original research)
DOI 10.1049/iet-rpg.2013.0046
Open Access Status Not Open Access
Volume 7
Issue 6
Start page 614
End page 622
Total pages 9
Editor David Infield
Place of publication Stevenage, Herts, United Kingdom
Publisher The Institution of Engineering and Technology
Language eng
Formatted abstract
In this study, norm bounded linear quadratic Gaussian controller synthesis method is utilised to design a wide-area measurement signal (WAMS)-based power oscillation damping controller at photovoltaics (PV) plants. The uncertainties associated with the system are confined by the system matrices which are the affine functions of parameters belong to a convex polytopic region. A hybrid method based on Hankel singular value (HSV) and right-half-plane zeros (RHP-zeros) is utilised to assess and select the optimal feedback signal for the PV wide-area damping controller. First, the HSVs of the delayed subsystems are employed to preselect the candidate signals for damping the target mode. Then, the RHP-zeros and the modal interaction measures of the candidate signals are evaluated. Finally, the signal with minimum variance in HSV and modal interaction over the wide range of operating conditions is selected as the optimal feedback signal for the controller design. The wide range of operating conditions is obtained by the probabilistic distribution of loads, synchronous generators and PVs. The approach has been tested on a large 16 machine, 68 bus test system as compared to geometric measures of controllability/observability method and has shown improved performance.
Keyword GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Energy & Fuels
Engineering, Electrical & Electronic
Science & Technology - Other Topics
Energy & Fuels
Engineering
ENERGY & FUELS
ENGINEERING, ELECTRICAL & ELECTRONIC
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
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Created: Fri, 08 Nov 2013, 20:55:40 EST by Mr Rakibuzzaman Shah on behalf of School of Information Technol and Elec Engineering