SETGOVPAYMENT

SETGOVPAYMENTshows specific payment details for Governor services by period.

Deprecation Warning

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

SETGOVPAYMENT is planned to become unused when Ancillary Services Review is implemented. For more details, see Change Notice 126 (1 Sep 2000), Change Notice 126a (18 Sep 2000) and any subsequent Change Notices with the same number.

SETGOVPAYMENT data is confidential to each participant.

Frequency and source

SETGOVPAYMENT updates with each settlement run.

Column Schema

CONTRACTID

Contract Identifier

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

This column is mandatory, and a primary key.

PARTICIPANTID

Unique participant identifier

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

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.

CONTRACTVERSIONNO

AS contract version no

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

This column is not mandatory.

DEADBANDDOWN

contracted dead band down

SQL Type: NUMBER(7,5) Polars Type: pl.Float64

This column is not mandatory.

DEADBANDUP

contracted dead band up

SQL Type: NUMBER(7,5) Polars Type: pl.Float64

This column is not mandatory.

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 not mandatory.

Example: W/HOE#2

ENABLING6LPAYMENT

6 sec lower enabling payment

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

ENABLING6RPAYMENT

6 sec raise enabling payment

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

ENABLING60LPAYMENT

60 sec lower enabling payment

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

ENABLING60RPAYMENT

60 sec raise enabling payment

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

L6

6 sec lower response for 1% deviation in frequency (droop equation)

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

L60

60 sec lower response for 1% deviation in frequency (droop equation)

SQL Type: NUMBER(15,5) 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

LL6

6 sec lower response limit equation

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

LL60

6 sec lower response limit equation

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

OFFERDATE

re-offer offer date

Warning

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

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

This column is not mandatory.

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

OFFERVERSIONNO

re-offer offer version

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

This column is not mandatory.

R6

6 sec raise response for 1% deviation in frequency (droop equation)

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

R60

60 sec raise response for 1% deviation in frequency (droop equation)

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

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.

RL6

6 sec raise response limit equation

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

RL6SECLOWER

contract enabling price - 6 sec lower

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

RL6SECRAISE

contract enabling price - 6 sec raise

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

RL60

60 sec raise response limit equation

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

RL60SECLOWER

contract enabling price - 60 sec lower

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

RL60SECRAISE

contract enabling price - 60 sec raise

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

TLF

Transmission Loss Factor of Unit

SQL Type: NUMBER(7,5) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

Each settlement 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", "OFFERDATE").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt16
            "CONTRACTVERSIONNO": int,  # or pl.UInt16
            "DEADBANDDOWN": pl.Float64,
            "DEADBANDUP": pl.Float64,
            "DUID": pl.Categorical,
            "ENABLING6LPAYMENT": pl.Float64,
            "ENABLING6RPAYMENT": pl.Float64,
            "ENABLING60LPAYMENT": pl.Float64,
            "ENABLING60RPAYMENT": pl.Float64,
            "L6": pl.Float64,
            "L60": pl.Float64,
            "LL6": pl.Float64,
            "LL60": pl.Float64,
            "OFFERVERSIONNO": int,  # or pl.UInt16
            "R6": pl.Float64,
            "R60": pl.Float64,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RL6": pl.Float64,
            "RL6SECLOWER": pl.Float64,
            "RL6SECRAISE": pl.Float64,
            "RL60": pl.Float64,
            "RL60SECLOWER": pl.Float64,
            "RL60SECRAISE": pl.Float64,
            "TLF": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'PARTICIPANTID', 'PERIODID', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "CONTRACTID",
            "PARTICIPANTID",
            "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:

CONTRACTID
PARTICIPANTID
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.