RESIDUE_CON_DATA

RESIDUE_CON_DATA supports the Settlement Residue Auction, by holding for each participant the confidential data from the auction. RESIDUE_CON_DATA joins to RESIDUE_PUBLIC_DATA and RESIDUE_TRK.

Source

RESIDUE_CON_DATA refreshes whenever a Settlement Residue Auction is run (i.e. quarterly).

RESIDUE_CON_DATA data is confidential to the relevant participant.

RESIDUE_CON_DATA excludes contracts and versions without a valid publication date (i.e invalid bids are ignored).

Volume

RESIDUE_CON_DATA shows a maximum of 6000 records per year.

Column Schema

CONTRACTID

SRA Contract unique identifier

SQL Type: VARCHAR2(30) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

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

Identifier of Contracted Interconnector

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

This column is mandatory, and a primary key.

PARTICIPANTID

Identifier of Contracted Participant

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

VERSIONNO

Contract run version

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

This column is mandatory, and a primary key.

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: 2026/01/20 00:05:00

LINKPAYMENT

Payment due (i.e. total purchase price)

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

This column is not mandatory.

SECONDARY_UNITS_SOLD

The number of cancelled Units for all Auction Participants.

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

This column is not mandatory.

UNITSPURCHASED

Units purchased on the directional interconnector (i.e. Contracted quantity)

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

This column is not mandatory.

New Data Timing

On auction completion

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"

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),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "FROMREGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1"]),
            "INTERCONNECTORID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
            "LINKPAYMENT": pl.Float64,
            "SECONDARY_UNITS_SOLD": pl.Float64,
            "UNITSPURCHASED": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'FROMREGIONID', 'INTERCONNECTORID', 'PARTICIPANTID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "CONTRACTID",
            "FROMREGIONID",
            "INTERCONNECTORID",
            "PARTICIPANTID",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Availability

Visibility: Private

This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.

Deduplication and PDR Loader Configuration

The primary keys are:

• CONTRACTID

• FROMREGIONID

• INTERCONNECTORID

• PARTICIPANTID

• VERSIONNO

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name	Report Subtype	Version
IRAUCTION	RESIDUE_CON_DATA	1
IRAUCTION	RESIDUE_CON_DATA	2

This means that the CSV files start with metadata columns:

I,IRAUCTION,RESIDUE_CON_DATA,1,...
D,IRAUCTION,RESIDUE_CON_DATA,1,...

or

I,IRAUCTION,RESIDUE_CON_DATA,2,...
D,IRAUCTION,RESIDUE_CON_DATA,2,...

Indexes

• LASTCHANGED

Links

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

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