This is a short guide to Australian electricity grid data supplied by AEMO (the market operator) for the Australian National Electricity Market (NEM) (the grid in Queensland, New South Wales, Victoria, South Australia, and Tasmania).
AEMO provide both actual data and forecasts for a range of variables - including prices, demand and electricity flows.
Data from AEMO is supplied from three different, overlapping sources
Some report names can be slighty different across sources - for example
The wholesale electricity price is known as the trading price - a half hourly price for electricity. The trading price is the average of the six dispatch prices that occur within a half hour - the dispatch price is a 5 minute price for electricity.
The trading price is used for settlement - it is the price that matters. AEMO plan to move to 5 minute pricing in the future.
AEMO timestamp with the time at the end of the interval. This means that
01/01/2018 14:00 refers to the time period
01/01/2018 13:30 - 01/01/2018 14:00.
Personally I shift the AEMO time stamp backwards by one step of the index frequency (i.e. 5 minutes). This allows the following to be true
dispatch_prices.loc['01/01/2018 13:30': '01/01/2018 14:00'].mean() == trading_price.loc['01/01/2018 13:30']
The shifting also allows easier alignment with external data sources such as weather, which is usually stamped with the timestamp at the beginning of the interval.
If the AEMO timestamp is not shifted, then the following is true
dispatch_prices.loc['01/01/2018 13:35': '01/01/2018 14:05'].mean() == trading_price.loc['01/01/2018 14:00']
The MMSDM links are for
2018_05. There are many more useful reports that have data for interconnector flows, demand and market settlement.
- trading price (30 min electricity price) - TRADINGPRICE - MMSDM
- dispatch price (5 min electricity price) - DISPATCHPRICE - MMSDM
- generation of market participants - UNIT_SCADA - MMSDM
- market participant bid volumes - BIDPEROFFER - MMSDM
- market participant bid prices - BIDAYOFFER - MMSDM
A major benefit of the large AEMO dataset is the ecosystem of third parties who can build useful (and often open source) tools on top of it.
AEMO dashboard - interative map
- NEM on the AEMO website
- Winds of change: An analysis of recent changes in the South Australian electricity market - University of Melbourne
- Li, Zili (2016) Topics in deregulated electricity markets. PhD thesis, Queensland University of Technology
- Dungey et. al (2018) Strategic Bidding of Electric Power Generating Companies: Evidence from the Australian National Energy Market
Thanks for reading!