Supplementary materials for the paper "A Portfolio approach to wind and solar deployment in Australia"
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Carmen Li a91a81f3e5 Fixed references. 5 months ago
VRE Added key file for the NEM sampling coordinates and other VRE parameters. 5 months ago
output_maximisation Added code files used in the base case and the computation for the marginal impact of the transmission constraints. 5 months ago Fixed references. 5 months ago

A Portfolio approach to wind and solar deployment in Australia


This repository contains the source codes used to generate and analyse the results of [1]. The directories are named using the same terminology as in the paper.

Wind and solar capacity factor time series are obtained from [2].

Demand data are taken from the "P5MIN_REGIONSOLUTION" dataset published on the AEMO Market Data site [3]. We take the "DEMAND_AND_NONSCHEDGEN" column in the data set as the gross demand and "TOTALDEMAND" as the operational demand. The raw data captured from AEMO are recorded state by state; to disaggregate the state demand into zone demand we use the population proportion method illustrated in [4].

The current transmission limits between zones are also estimated using the data from [4].


[1] C. K. Chong, C. Li, D. Reiner and F. Roques, A Portfolio approach to wind and solar deployment in Australia. EPRG working papers 2022 (2020),

[2] S. Pfenninger and I. Staffell,

[3] Australian Energy Market Operator (AEMO). NEMWEB Market Data,

[4] Xenophon, A. and Hill, D. Open grid model of australia’s national electricity market allowing backtesting against historic data. Scientific Data, volume 5, 180203 (2018) doi: