||12 months ago|
|VRE||12 months ago|
|output_maximisation||12 months ago|
|readme.md||12 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 . The directories are named using the same terminology as in the paper.
Wind and solar capacity factor time series are obtained from .
Demand data are taken from the "P5MIN_REGIONSOLUTION" dataset published on the AEMO Market Data site . 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 .
The current transmission limits between zones are also estimated using the data from .
 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), https://www.eprg.group.cam.ac.uk/eprg-working-paper-2022/
 S. Pfenninger and I. Staffell Renewables.ninja, https://www.renewables.ninja/
 Australian Energy Market Operator (AEMO). NEMWEB Market Data, http://www.nemweb.com.au/
 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: https://doi.org/10.1038/sdata.2018.203