Strategic integration of renewable energy sources into the electricity grid
(J Boland,
J Filar,
K Ward,
A Nazari,
M Agrawal,
B Ridley and J Huang)
Electricity generation companies are using renewable energy systems to
lower greenhouse gas emissions (GHG), but without determining which mixture
of technologies is most beneficial. We will exploit advanced stochastic
modelling and dynamic optimisation techniques to structure the integration
of renewable energy systems into the electricity supply system, to provide
the greatest reduction in GHG’s, at least cost, while maintaining supply
strictures set by the National Electricity Market Management Company. Our
methods will determine the mix of resources needed to schedule this
integration to cater for the stochastic nature of both electricity demand
and renewable energy resources while meeting mandatory targets.
Publications
John Boland, Generation of synthetic sequences of electricity demand with applications, Handbook on “Uncertainty and Environmental Decision Making”, in Springer’s International Series in Operations Research and Management Science, F. S. Hillier (ed.), 2009.
Ward K., Korolkiewicz M. and Boland J., Modelling windfarm volatility using HMMs, 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17July 2009, 2009.
Boland J. and Zekanovic, Z. (2008) Optimising the orientation of photovoltaic cells for load matching, Proceedings of the 3rd International Solar Cities Congress, 17-21 February 2008, Adelaide, Australia.
Boland J., Gilbert K. and Korolkiewicz M. (2007) Modelling wind farm output variability, MODSIM07, Christchurch NZ, 10-13 Dec.
Funding
ARC Discovery Project DP0987148: Strategic integration of renewable energy sources into the
electricity grid.
CI’s: John Boland, Jerzy Filar (MAT)
Research Associates: Asef Nazari, Manju Agrawal and Barbara Ridley
PhD Students: Kathryn
Ward and Huang Jing.