The Auction Units Report details the financial outcomes of the AEMO’s Settlement Residue Auctions (SRA’s).
Australia’s National Electricity Market (NEM) trades electricity across states to take advantages of differences in supply, demand, and cost.
The scope of the NEM state interconnections are:
- NSW <–> QLD
- VIC <–> SA
- VIC <–> NSW
If a region experiences excess power production and a neighboring region experiences high demand it can trade the excess electricity to meet the demand. This temporal diversity allows regions to support each other.
Insight potential
Data Source
Current files: https://nemweb.com.au/Reports/CURRENT/Auction_Units_Reports/
Published weekly in a CSV format and 12 months of rolling historic data can be sourced from the AEMO data repository.
Description of Report Field Names
Field | Description | Unit |
AUCTION_UNITS | Fixed value. “AUCTION_UNITS” | — |
1 | Fixed value. “1” Probably kept for legacy reasons. | — |
CONTRACTYEAR | The year the auction contract applies to (e.g. 2024, 2025). | Year (YYYY) |
WEEKNO | Calendar year week number of the auction period (1–52) | Integer |
BILLRUNNO | Internal reference billing run identifier | Integer |
STARTDATE | Start of the auction week | DateTime (DD/MM/YYYY HH:MM) |
ENDDATE | End of the auction week | DateTime (DD/MM/YYYY HH:MM) |
BILLRUNTYPE | Type of billing run (PRELIMINARY, REVISION [1,2] or FINAL) | Text |
RESIDUEYEAR | Year the settlement residue applies to (usually same as contract year) | Year |
QUARTER | Calendar year quarter (1–4) | Integer |
INTERCONNECTORID | Transmission link between regions (e.g. VIC1-NSW1) | Text |
FROMREGIONID | Region on one side of the interconnector (e.g. VIC1, NSW1) | Text |
PURCHASEDUNITS | Number of auction units purchased for that region | Units |
TOTALSURPLUS | Total settlement residue generated across the interconnector ($). | AUD |
DISTRIBUTEDSURPLUS | Portion of surplus distributed to unit holders ($). | AUD |
AUCTIONFEES | Fees deducted by AEMO (usually zero) ($). | AUD |
NETPAYMENT | Final payment to unit holders after fees ($). | AUD |
NETPAYMENTPERUNIT | Net payment divided by purchased units | AUD/unit |
ACCUMULATEDNETPAYMENT | Total net payments received by that region over time ($). | AUD |
ACCUMULATEDNETPAYMENTPERUNIT | Cumulative earnings per unit ($) | AUD/unit |
Data Analysis
- Query #1 – “direction-based_earning_comparison.sql”
- Purpose – Identify which interconnector and direction, based on the historical data is earning the most revenue.
-- Filename: direction-based_earning_comparison.sql
-- Version: 1.0
-- Purpose: Analyze which side ("from region") of each interconnector tends to earn more
-- Focuses on three key interconnectors: NSW1-QLD1, V-SA, VIC1-NSW1
SELECT
interconnector_id, -- e.g. NSW1-QLD1, V-SA, VIC1-NSW1
from_region_id, -- the region on one end of the interconnector (e.g. QLD1, SA1, VIC1)
-- Sum up all net payments for that region+interconnector combination over the time period
-- Also round to two decimal points
ROUND(SUM(net_payment), 2) AS total_net_payment,
-- Calculate average net payment per auction unit to measure per-unit profitability
-- Also round to two decimal points
ROUND(AVG(net_payment_per_unit), 2) AS avg_net_payment_per_unit
FROM auction_units
-- Limit to only the three interconnectors of interest for focused comparison
WHERE interconnector_id IN ('NSW1-QLD1', 'V-SA', 'VIC1-NSW1')
-- Group by both interconnector and region to isolate directional earnings
GROUP BY interconnector_id, from_region_id
-- Sort so you can easily compare which region on each interconnector earned the most per unit
ORDER BY interconnector_id, avg_net_payment_per_unit DESC
;
Output
$ ./runsql.sh direction-based_earning_comparison.sql
interconnector_id | from_region_id | total_net_payment | avg_net_payment_per_unit
-------------------+----------------+-------------------+--------------------------
NSW1-QLD1 | QLD1 | 900253113.32 | 3202.62
NSW1-QLD1 | NSW1 | 103699992.29 | 796.60
VIC1-NSW1 | VIC1 | 524390222.78 | 1501.12
VIC1-NSW1 | NSW1 | 143050435.81 | 478.43
V-SA | VIC1 | 329301950.83 | 1627.68
V-SA | SA1 | 96223574.57 | 536.16
(6 rows)
$
Interpretation of results