SETRESERVETRADER

SETRESERVETRADER shows reserve trader details.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

SETRESERVETRADER data is confidential to the relevant participant.

Source

SETRESERVETRADER updates when reserve trading occurs in a billing run, such as during an Administered Price Cap event. SETRESERVETRADER is empty until such an event occurs.

Column Schema

DUID

Dispatchable Unit ID

Warning

This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

Example: W/HOE#2

PERIODID

Period Identifier

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

SETTLEMENTDATE

Settlement Date

Warning

Despite what the name suggests, this is a datetime, not a date.

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

This column is mandatory, and a primary key.

Example: 2026/01/20 00:05:00

VERSIONNO

Settlement Run No.

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

This column is mandatory, and a primary key.

CAPDIFFERENCE

Spot payment applicable to the capacity above the enabling threshold

SQL Type: NUMBER(12,5) Polars Type: pl.Float64

This column is not mandatory.

CONTRACTID

Reserve Trader Contract Identifier

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

This column is not mandatory.

CONTRACTVERSION

Reserve Trader Contract Version

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

This column is not mandatory.

CPA

Contract Availability Payment

SQL Type: NUMBER(12,5) Polars Type: pl.Float64

This column is not mandatory.

CPE

Contract Enabling Payment

SQL Type: NUMBER(12,5) Polars Type: pl.Float64

This column is not mandatory.

CPTOTAL

Total Payment for Contract

SQL Type: NUMBER(12,5) Polars Type: pl.Float64

This column is not mandatory.

CPU

Contract Usage Payment

SQL Type: NUMBER(12,5) Polars Type: pl.Float64

This column is not mandatory.

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

PARTICIPANTID

Unique participant identifier

For more information, see the dedicated documentation page.

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

This column is not mandatory.

RCF

Reserve Recovery Flag

SQL Type: CHAR(1) Polars Type: pl.Boolean

This column is not mandatory.

REGIONID

Region Identifier

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

• SNOWY1

This column is not mandatory.

UNITAVAIL

Offered Availability of Unit

SQL Type: NUMBER(6,2) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

When a reserve trading occurs in a billing run

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("SETTLEMENTDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"RCF": pl.UInt8})
    .cast(
        {
            "DUID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt16
            "CAPDIFFERENCE": pl.Float64,
            "CONTRACTID": pl.Categorical,
            "CONTRACTVERSION": int,  # or pl.UInt16
            "CPA": pl.Float64,
            "CPE": pl.Float64,
            "CPTOTAL": pl.Float64,
            "CPU": pl.Float64,
            "PARTICIPANTID": pl.Categorical,
            "RCF": pl.Boolean,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "UNITAVAIL": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'PERIODID', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["DUID", "PERIODID", "SETTLEMENTDATE", "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:

• DUID

• PERIODID

• SETTLEMENTDATE

• VERSIONNO

PDR Loader configuration does not mention this table, so it is unclear how to choose which row to keep when there are multiple rows for a given set of primary keys.

You should probably take the row with the maximum LASTCHANGED.

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: HISTORICAL TABLES

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