Summary
This paper is based on a Mathematics-in-Industry Study Group project from MISG 2007 in Wollongong. This project considered management issues for a national electric power grid that may arise as a result of using larger amounts of wind power generation. The variability of this power source has implications for both the maintenance of power supply and its transmission upon finite capacity power lines. A number of approaches and simple models were used to study these aspects of production and transmission.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Allwright, D., Andrade, V., Avramidis, T., Dewynne, J., Howison, S., Lacey, A., Licea, A., Patidar, S., Pototsky, A., Smith, H., Tambue, A.: Simulating the distribution and cross-correlation of wind farm output. 64th European Study Group with Industry 2008, Final Report (2008)
Pritchard, G., Sweatman, W.L., Nan, K., Camden, M., Whiten, W.: Maximizing the contribution of wind power in an electric power grid. In: Merchant, T., Edwards, M., Mercer, G. (eds.) Proceedings of the 2007 Mathematics and Statistics in Industry Study Group, pp. 114–139. University of Wollongong, Wollongong University, Australia (2008)
Whiten, W., Tsoularis, T.: Prediction of power generation from a wind farm. In: Wake, G. (ed.) Proceedings of the 2004 Mathematics and Statistics in Industry Study Group, pp. 61–87. Massey University, Albany, New Zealand (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Sweatman, W.L., Pritchard, G., Whiten, B., Camden, M., Nan, K. (2010). Optimising for Wind Power Contributions in an Electricity Grid. In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_165
Download citation
DOI: https://doi.org/10.1007/978-3-642-12110-4_165
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12109-8
Online ISBN: 978-3-642-12110-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)