Australian Electricity Generation Expansion Planning and Climate Policy Evaluation under Uncertainties

This dissertation calibrates a Generation Expansion Planning (GEP) model to the Australian electricity market to forecast cost-efficient ways to meet future electricity demand while transitioning from fossil-fuel-based technologies to renewable energy sources. The model incorporates uncertainties in the Australian electricity market and employs the stochastic dual dynamic programming (SDDP) methodology to devise plans for the period from 2020 to 2050.