SETRPOWERPAYMENT

SETRPOWERPAYMENT shows specific payment details for Reactive power services by period. This Table may also be used for NSCAS and Type 1 transitional services procured by AEMO under the ISF framework during 2025 and prior to the implementation of all system changes. During this time descriptions in these tables may not be correct.

SETRPOWERPAYMENT data is confidential to the relevant participant.

Source

SETRPOWERPAYMENT updates with each settlement run.

Column Schema

CONTRACTID

AS Contract Identifier

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

This column is mandatory, and a primary key.

PARTICIPANTID

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

Settlements Trading Interval.

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.

AVAFLAG

Availability Flag

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

This column is not mandatory.

AVAILABILITYPAYMENT

Availability Payment

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

This column is not mandatory.

AVAILABILITYPAYMENT_REBATE

The rebate amount if MegaVar (MVAr) is below the threshold.

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

This column is not mandatory.

BLOCKSIZE

Block size of unit

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

This column is not mandatory.

CCPAYMENT

Compensation Payment

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

This column is not mandatory.

CCPRICE

Compensation Cap

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

This column is not mandatory.

CLEAREDMW

Cleared MW of unit

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

This column is not mandatory.

CONTRACTVERSIONNO

AS Contract Version No.

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

This column is not mandatory.

DUID

Dispatchable Unit Identifier

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

EBP

Eligible Bid Price

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

This column is not mandatory.

ENABLINGPAYMENT

Enabling Payment

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

MTA

Reactive Power Absorption Capability (MVAr)

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

This column is not mandatory.

MTG

Reactive Power Generation Capability (MVAr)

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

This column is not mandatory.

MVARAPRICE

Availability price per MVAr of RP absorption capability

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

This column is not mandatory.

MVAREPRICE

Enabling Price

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

This column is not mandatory.

MVARGPRICE

Availability price per MVAr of RP generation capability

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 Version No.

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

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.

RRP

Regional Reference Price

For more information, see the dedicated documentation page.

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

This column is not mandatory.

SYNCCOMPENSATION

Sync Compensation Flag

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

This column is not mandatory.

TLF

Transmission Loss Factor

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

This column is not mandatory.

UNCONSTRAINEDMW

Unconstrained MW of unit

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

This column is not mandatory.

New Data Timing

After 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
        ),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"AVAFLAG": pl.UInt8, "SYNCCOMPENSATION": pl.UInt8})
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt16
            "AVAFLAG": pl.Boolean,
            "AVAILABILITYPAYMENT": pl.Float64,
            "AVAILABILITYPAYMENT_REBATE": pl.Float64,
            "BLOCKSIZE": int,  # or pl.UInt16
            "CCPAYMENT": pl.Float64,
            "CCPRICE": pl.Float64,
            "CLEAREDMW": pl.Float64,
            "CONTRACTVERSIONNO": int,  # or pl.UInt16
            "DUID": pl.Categorical,
            "EBP": pl.Float64,
            "ENABLINGPAYMENT": pl.Float64,
            "MTA": pl.Float64,
            "MTG": pl.Float64,
            "MVARAPRICE": pl.Float64,
            "MVAREPRICE": pl.Float64,
            "MVARGPRICE": pl.Float64,
            "OFFERVERSIONNO": int,  # or pl.UInt16
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RRP": pl.Float64,
            "SYNCCOMPENSATION": pl.Boolean,
            "TLF": pl.Float64,
            "UNCONSTRAINEDMW": 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

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
SETTLEMENTS	RPOWERPAYMENT	6

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,RPOWERPAYMENT,6,...
D,SETTLEMENTS,RPOWERPAYMENT,6,...

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: SETTLEMENT_DATA

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