A case study into improving the 24-month mid-term forecasting of wind energy by combining with PVs

Patel, J., Martin, D., Chan, J. and Krause, O. (2015). A case study into improving the 24-month mid-term forecasting of wind energy by combining with PVs. In: Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, Australia, (). 15-18 November 2015. doi:10.1109/APPEEC.2015.7380866


Author Patel, J.
Martin, D.
Chan, J.
Krause, O.
Title of paper A case study into improving the 24-month mid-term forecasting of wind energy by combining with PVs
Conference name IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
Conference location Brisbane, Australia
Conference dates 15-18 November 2015
Convener IEEE
Proceedings title Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
Journal name Asia-Pacific Power and Energy Engineering Conference, APPEEC
Series Asia-Pacific Power and Energy Engineering Conference, APPEEC
Place of Publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronic Engineers (IEEE)
Publication Year 2015
Sub-type Fully published paper
DOI 10.1109/APPEEC.2015.7380866
Open Access Status Not Open Access
ISBN 9781467381321
ISSN 2157-4847
Volume 2016-January
Total pages 5
Language eng
Abstract/Summary Forecasting the output of wind energy plants over many months is problematic because of the unpredictability of the weather. Usually, a large proportion of conventional generation must be standing by as reserve capacity in case the weather is not conducive to that type of renewable technology. A possible solution is to operate in conjunction different types of renewables. For instance, during stormy weather the output of a PV plant might be low, however, the output of a wind farm will be high. To investigate the appropriateness of this aggregation, data from a South Australian wind farm was studies, along with a hypothetical PV plant, to determine whether the output of the conjoined plant was more reliable than that of the wind farm on its own.
Subjects 2102 Energy Engineering and Power Technology
Keyword Wind energy
Wind energy generation
Wind power generation
Wind farms
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 22 Jan 2016, 19:10:23 EST by Dr Olav Krause on behalf of School of Information Technol and Elec Engineering