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AUCTION_IC_ALLOCATIONS

AUCTION_IC_ALLOCATIONS supports the Settlement Residue Auction by providing the basis for setting up contracts for individual tranches. AUCTION_IC_ALLOCATIONS shows the default definitions for the total number of units and proportion applicable to each directional interconnector for a specified auction quarter.

AUCTION_IC_ALLOCATIONS is public data, and is available to all participants.

Source

Updates are usually quarterly as auctions are held from Settlement Residue Auction team's SRIS interface.

Volume

AUCTION_IC_ALLOCATIONS contains a maximum of 100 records per year.

Column Schema

CONTRACTYEAR

SRA Contracted Year

SQL Type: NUMBER(4,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Example: 2032

FROMREGIONID

Nominated source region for Interconnector

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

  • QLD1

  • VIC1

  • TAS1

  • NSW1

  • SA1

This column is mandatory, and a primary key.

INTERCONNECTORID

Contracted Interconnector Identifier

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

  • NSW1-QLD1
  • NSW1-SA1
  • T-V-MNSP1
  • V-SA
  • VIC1-NSW1

QUARTER

SRA Contracted Quarter

SQL Type: NUMBER(1,0) Polars Type: pl.Int8

This column is mandatory, and a primary key.

Example: 4

VERSIONNO

Version of data for other key data - a higher version for same key data takes precedence

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Example: 1

AUCTIONFEE

Daily auction fee

SQL Type: NUMBER(17,5) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

AUCTIONFEE_SALES

Fees for Cancelled Units.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

CHANGEDATE

Authorisation date

SQL Type: DATE Polars Type: pl.Date()

This column is not mandatory.

Example: 2026/10/01 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

CHANGEDBY

Name of person authorising this data set

SQL Type: VARCHAR2(15) Polars Type: str

This column is not mandatory.

Example: SYSTEM

LASTCHANGED

Last date and time record changed

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/10/01 00:00:00

MAXIMUMUNITS

Number of units on the interconnector

SQL Type: NUMBER(5,0) Polars Type: pl.Int32

This column is not mandatory.

Examples: 500, 1500

PROPORTION

Percentage of the total residue for each Unit

SQL Type: NUMBER(8,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.06666, 0.2

New Data Timing

Usually quarterly after each settlement residue auction

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("CHANGEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "CONTRACTYEAR": int,  # or pl.UInt16
            "FROMREGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1"]),
            "INTERCONNECTORID": pl.Categorical,
            "QUARTER": int,  # or pl.Int8
            "VERSIONNO": int,  # or pl.UInt16
            "AUCTIONFEE": pl.Float64,
            "AUCTIONFEE_SALES": pl.Float64,
            "CHANGEDATE": pl.Date(),
            "CHANGEDBY": str,
            "MAXIMUMUNITS": int,  # or pl.Int32
            "PROPORTION": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTYEAR', 'FROMREGIONID', 'INTERCONNECTORID', 'QUARTER', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "CONTRACTYEAR",
            "FROMREGIONID",
            "INTERCONNECTORID",
            "QUARTER",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_AUCTION_IC_ALLOCATIONS_FILE01_202609010000.zip

CONTRACTYEARQUARTERVERSIONNOINTERCONNECTORIDFROMREGIONIDMAXIMUMUNITSPROPORTIONAUCTIONFEECHANGEDATECHANGEDBYLASTCHANGEDAUCTIONFEE_SALES
203241VIC1-NSW1VIC115000.0666602026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241VIC1-NSW1NSW113000.0769202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241T-V-MNSP1TAS15000.202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241T-V-MNSP1VIC15000.202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241V-SASA17700.1298702026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241NSW1-SA1NSW18000.12502026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241NSW1-SA1SA18000.12502026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241V-SAVIC18800.1136302026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241NSW1-QLD1NSW17500.1333302026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
203241NSW1-QLD1QLD113000.0769202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00

CSETP.WORLDDVD_AUCTION_IC_ALLOCATIONSAEMOPUBLIC2026/10/0915:24:37001791523477979MONTHLY_ARCHIVE001791523477979
IIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2CONTRACTYEARQUARTERVERSIONNOINTERCONNECTORIDFROMREGIONIDMAXIMUMUNITSPROPORTIONAUCTIONFEECHANGEDATECHANGEDBYLASTCHANGEDAUCTIONFEE_SALES
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241VIC1-NSW1VIC115000.0666602026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241VIC1-NSW1NSW113000.0769202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241T-V-MNSP1TAS15000.202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241T-V-MNSP1VIC15000.202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241V-SASA17700.1298702026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241NSW1-SA1NSW18000.12502026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241NSW1-SA1SA18000.12502026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241V-SAVIC18800.1136302026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241NSW1-QLD1NSW17500.1333302026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
DIRAUCTION_CONFIGAUCTION_IC_ALLOCATIONS2203241NSW1-QLD1QLD113000.0769202026/10/01 00:00:00SYSTEM2026/10/01 00:00:00
CEND OF REPORT13

CONTRACTYEAR,QUARTER,VERSIONNO,INTERCONNECTORID,FROMREGIONID,MAXIMUMUNITS,PROPORTION,AUCTIONFEE,CHANGEDATE,CHANGEDBY,LASTCHANGED,AUCTIONFEE_SALES
2032,4,1,VIC1-NSW1,VIC1,1500,0.06666,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,VIC1-NSW1,NSW1,1300,0.07692,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,T-V-MNSP1,TAS1,500,0.2,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,T-V-MNSP1,VIC1,500,0.2,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,V-SA,SA1,770,0.12987,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,NSW1-SA1,NSW1,800,0.125,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,NSW1-SA1,SA1,800,0.125,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,V-SA,VIC1,880,0.11363,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,NSW1-QLD1,NSW1,750,0.13333,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
2032,4,1,NSW1-QLD1,QLD1,1300,0.07692,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
C,SETP.WORLD,DVD_AUCTION_IC_ALLOCATIONS,AEMO,PUBLIC,2026/10/09,15:24:37,001791523477979,MONTHLY_ARCHIVE,001791523477979
I,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,CONTRACTYEAR,QUARTER,VERSIONNO,INTERCONNECTORID,FROMREGIONID,MAXIMUMUNITS,PROPORTION,AUCTIONFEE,CHANGEDATE,CHANGEDBY,LASTCHANGED,AUCTIONFEE_SALES
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,VIC1-NSW1,VIC1,1500,0.06666,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,VIC1-NSW1,NSW1,1300,0.07692,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,T-V-MNSP1,TAS1,500,0.2,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,T-V-MNSP1,VIC1,500,0.2,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,V-SA,SA1,770,0.12987,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,NSW1-SA1,NSW1,800,0.125,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,NSW1-SA1,SA1,800,0.125,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,V-SA,VIC1,880,0.11363,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,NSW1-QLD1,NSW1,750,0.13333,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,2032,4,1,NSW1-QLD1,QLD1,1300,0.07692,0,"2026/10/01 00:00:00",SYSTEM,"2026/10/01 00:00:00",
C,"END OF REPORT",13

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 1 of 2015. The most recent available data is month 9 of 2026.

Warning

There are some months with no files.

Data Size

Each year of data is approximately 7 KB when zipped, 71 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name Report Subtype Version
IRAUCTION_CONFIG AUCTION_IC_ALLOCATIONS 1
IRAUCTION_CONFIG AUCTION_IC_ALLOCATIONS 2

This means that the CSV files start with metadata columns:

I,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,1,...
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,1,...

or

I,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,...
D,IRAUCTION_CONFIG,AUCTION_IC_ALLOCATIONS,2,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: IRAUCTION