BILLINGASPAYMENTS

BILLINGASPAYMENTS shows Ancillary Service payments for each billing period by each of the Ancillary Service types for each participant’s connection points.

BILLINGASPAYMENTS data is confidential to relevant participant.

Source

Updated with each billing run.

Volume

The volume is according to the number of Transmission ConnectionPointIDs a Participant may have subject to ancillary payment per billrunno. An indicative maximum is approximately 20 records are inserted per billrunno, or about 220 records inserted per week.

Tip

1 second, 6 second, 5 minute, 60 second and regulation refer to types of FCAS markets.

Column Schema

BILLRUNNO

Billing Run No.

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

This column is mandatory, and a primary key.

CONNECTIONPOINTID

Connection point identifier

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

This column is mandatory, and a primary key.

CONTRACTYEAR

Contract Year

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

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.

WEEKNO

Week No

Warning

There may be 53 weeks in a year, depending on how weeks align to the year start/end.

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

This column is mandatory, and a primary key.

AGC

AGC Payments

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

This column is not mandatory.

AVAILABILITY_REACTIVE

The total availability payment

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

This column is not mandatory.

AVAILABILITY_REACTIVE_RBT

The total availability payment rebate

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

This column is not mandatory.

FCASCOMP

Frequency Control Compensation Payments

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

This column is not mandatory.

LASTCHANGED

The latest date and time that a file was updated or inserted

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

LOADSHED

Load Shed Payments

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

This column is not mandatory.

LOWER1SEC

Payment amount for the very fast lower service

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

This column is not mandatory.

LOWER5MIN

Lower 5 Minute Payment

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

This column is not mandatory.

LOWER6SEC

Lower 6 Sec Payments

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

This column is not mandatory.

LOWER60SEC

Lower 60 Sec Payments

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

This column is not mandatory.

LOWERREG

Lower 5 Minute Regulation Payment

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

This column is not mandatory.

RAISE1SEC

Payment amount for the very fast raise service

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

This column is not mandatory.

RAISE5MIN

Raise 5 Minute Payment

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

This column is not mandatory.

RAISE6SEC

Raise 6 Sec Payments

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

This column is not mandatory.

RAISE60SEC

Raise 60 Sec Payments

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

This column is not mandatory.

RAISEREG

Raise 5 Minute Regulation Payment

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

This column is not mandatory.

REACTIVEPOWER

Reactive Power Payments

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.

RGUL

Rapid Generator unit Loading Payments

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

This column is not mandatory.

RGUU

Rapid Generator Unit Unloading Payments

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

This column is not mandatory.

SYSTEMRESTART

System Restart Payments

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

This column is not mandatory.

New Data Timing

Updated when a billing run is posted

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(
        {
            "BILLRUNNO": int,  # or pl.UInt16
            "CONNECTIONPOINTID": pl.Categorical,
            "CONTRACTYEAR": int,  # or pl.UInt16
            "PARTICIPANTID": pl.Categorical,
            "WEEKNO": int,  # or pl.UInt16
            "AGC": pl.Float64,
            "AVAILABILITY_REACTIVE": pl.Float64,
            "AVAILABILITY_REACTIVE_RBT": pl.Float64,
            "FCASCOMP": pl.Float64,
            "LOADSHED": pl.Float64,
            "LOWER1SEC": pl.Float64,
            "LOWER5MIN": pl.Float64,
            "LOWER6SEC": pl.Float64,
            "LOWER60SEC": pl.Float64,
            "LOWERREG": pl.Float64,
            "RAISE1SEC": pl.Float64,
            "RAISE5MIN": pl.Float64,
            "RAISE6SEC": pl.Float64,
            "RAISE60SEC": pl.Float64,
            "RAISEREG": pl.Float64,
            "REACTIVEPOWER": pl.Float64,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RGUL": pl.Float64,
            "RGUU": pl.Float64,
            "SYSTEMRESTART": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['BILLRUNNO', 'CONNECTIONPOINTID', 'CONTRACTYEAR', 'PARTICIPANTID', 'WEEKNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "BILLRUNNO",
            "CONNECTIONPOINTID",
            "CONTRACTYEAR",
            "PARTICIPANTID",
            "WEEKNO",
        ],
        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:

• BILLRUNNO

• CONNECTIONPOINTID

• CONTRACTYEAR

• PARTICIPANTID

• WEEKNO

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
BILLING	ASPAYMENTS	7

This means that the CSV files start with metadata columns:

I,BILLING,ASPAYMENTS,7,...
D,BILLING,ASPAYMENTS,7,...

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: BILLING_RUN

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