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BIDDUIDDETAILS

BIDDUIDDETAILS and the associated tracking object BIDDUIDDETAILSTRK define the registration data for each ancillary service a dispatchable unit is registered to provide. The registration data is required to validate a dispatchable unit bid submitted for that ancillary service.

BIDDUIDDETAILS data is public to participants.

Source

BIDDUIDDETAILS updates as dispatchable unit registration details are modified.

Volume

Approximately 1000 records per year.

Column Schema

BIDTYPE

Bid Type Identifier

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

  • ENERGY

  • LOWERREG

  • LOWER60SEC

  • RAISE5MIN

  • LOWER5MIN

  • LOWER6SEC

  • RAISE60SEC

  • RAISE6SEC

  • RAISEREG

  • RAISE1SEC

  • LOWER1SEC

This column is mandatory, and a primary key.

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 mandatory, and a primary key.

Examples:

  • APD01
  • APD02
  • APS
  • BW01
  • BW02
  • BW03
  • BW04
  • CALL_A_1
  • CALL_A_2
  • CALL_A_3

EFFECTIVEDATE

Market date starting at 04:30 inclusive

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

This column is mandatory, and a primary key.

Example: 2001/09/13 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

VERSIONNO

Record version number

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

This column is mandatory, and a primary key.

Example: 1

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: 2001/09/13 16:38:05

MAXCAPACITY

Maximum Capacity of this DUID for this BIDTYPE

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 5, 600

MAXENABLEMENTLEVEL

Maximum Energy Output (MW) at which this ancillary service can be supplied (AS Only)

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 30, 1600

MAXLOWERANGLE

Maximum Angle at the lower end of the ancillary service profile (Degrees)

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

This column is not mandatory.

Examples: 15, 90

MAXUPPERANGLE

Maximum Angle at the upper end of the ancillary service profile (Degrees)

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

This column is not mandatory.

Examples: 16, 90

MINENABLEMENTLEVEL

Minimum Energy Output (MW) at which this ancillary service becomes available (AS Only)

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 5, 300

New Data Timing

When dispatchable unit registration details are modified

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"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

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),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "DUID": pl.Categorical,
            "EFFECTIVEDATE": pl.Date(),
            "VERSIONNO": int,  # or pl.UInt16
            "MAXCAPACITY": int,  # or pl.Int128
            "MAXENABLEMENTLEVEL": int,  # or pl.Int128
            "MAXLOWERANGLE": int,  # or pl.Int16
            "MAXUPPERANGLE": int,  # or pl.Int16
            "MINENABLEMENTLEVEL": int,  # or pl.Int128
        }
    )
    # Deduplicate
    # We want one row per ['BIDTYPE', 'DUID', 'EFFECTIVEDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["BIDTYPE", "DUID", "EFFECTIVEDATE", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_BIDDUIDDETAILS_FILE01_202609010000.zip

DUIDEFFECTIVEDATEVERSIONNOBIDTYPEMAXCAPACITYMINENABLEMENTLEVELMAXENABLEMENTLEVELMAXLOWERANGLEMAXUPPERANGLELASTCHANGED
CALL_B_12001/09/13 00:00:001LOWER60SEC6016536045902001/09/13 16:38:05
CALL_B_12001/09/13 00:00:001LOWERREG1516536045902001/09/13 16:38:05
CALL_B_12001/09/13 00:00:001RAISE60SEC3516536090212001/09/13 16:38:05
CALL_B_12001/09/13 00:00:001RAISEREG1516536090452001/09/13 16:38:05
CALL_B_12001/09/13 00:00:001LOWER6SEC5016536045902001/09/13 16:38:05
CALL_B_12001/09/13 00:00:001RAISE6SEC2316536090212001/09/13 16:38:05
CALL_B_22001/09/13 00:00:001LOWER60SEC6016536045902001/09/13 16:38:05
CALL_B_22001/09/13 00:00:001LOWER6SEC5016536045902001/09/13 16:38:05
CALL_B_22001/09/13 00:00:001LOWERREG1516536045902001/09/13 16:38:05
CALL_B_22001/09/13 00:00:001RAISE60SEC3516536090212001/09/13 16:38:05
CALL_B_22001/09/13 00:00:001RAISE6SEC2316536090212001/09/13 16:38:05
...

CSETP.WORLDDVD_BIDDUIDDETAILSAEMOPUBLIC2026/10/0915:24:39001791523479597MONTHLY_ARCHIVE001791523479597
IPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1DUIDEFFECTIVEDATEVERSIONNOBIDTYPEMAXCAPACITYMINENABLEMENTLEVELMAXENABLEMENTLEVELMAXLOWERANGLEMAXUPPERANGLELASTCHANGED
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001LOWER60SEC6016536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001LOWERREG1516536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001RAISE60SEC3516536090212001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001RAISEREG1516536090452001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001LOWER6SEC5016536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_12001/09/13 00:00:001RAISE6SEC2316536090212001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_22001/09/13 00:00:001LOWER60SEC6016536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_22001/09/13 00:00:001LOWER6SEC5016536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_22001/09/13 00:00:001LOWERREG1516536045902001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_22001/09/13 00:00:001RAISE60SEC3516536090212001/09/13 16:38:05
DPARTICIPANT_REGISTRATIONBIDDUIDDETAILS1CALL_B_22001/09/13 00:00:001RAISE6SEC2316536090212001/09/13 16:38:05
...
CEND OF REPORT1003

DUID,EFFECTIVEDATE,VERSIONNO,BIDTYPE,MAXCAPACITY,MINENABLEMENTLEVEL,MAXENABLEMENTLEVEL,MAXLOWERANGLE,MAXUPPERANGLE,LASTCHANGED
CALL_B_1,"2001/09/13 00:00:00",1,LOWER60SEC,60,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_1,"2001/09/13 00:00:00",1,LOWERREG,15,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_1,"2001/09/13 00:00:00",1,RAISE60SEC,35,165,360,90,21,"2001/09/13 16:38:05"
CALL_B_1,"2001/09/13 00:00:00",1,RAISEREG,15,165,360,90,45,"2001/09/13 16:38:05"
CALL_B_1,"2001/09/13 00:00:00",1,LOWER6SEC,50,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_1,"2001/09/13 00:00:00",1,RAISE6SEC,23,165,360,90,21,"2001/09/13 16:38:05"
CALL_B_2,"2001/09/13 00:00:00",1,LOWER60SEC,60,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_2,"2001/09/13 00:00:00",1,LOWER6SEC,50,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_2,"2001/09/13 00:00:00",1,LOWERREG,15,165,360,45,90,"2001/09/13 16:38:05"
CALL_B_2,"2001/09/13 00:00:00",1,RAISE60SEC,35,165,360,90,21,"2001/09/13 16:38:05"
CALL_B_2,"2001/09/13 00:00:00",1,RAISE6SEC,23,165,360,90,21,"2001/09/13 16:38:05"
...

C,SETP.WORLD,DVD_BIDDUIDDETAILS,AEMO,PUBLIC,2026/10/09,15:24:39,001791523479597,MONTHLY_ARCHIVE,001791523479597
I,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,DUID,EFFECTIVEDATE,VERSIONNO,BIDTYPE,MAXCAPACITY,MINENABLEMENTLEVEL,MAXENABLEMENTLEVEL,MAXLOWERANGLE,MAXUPPERANGLE,LASTCHANGED
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,LOWER60SEC,60,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,LOWERREG,15,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,RAISE60SEC,35,165,360,90,21,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,RAISEREG,15,165,360,90,45,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,LOWER6SEC,50,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_1,"2001/09/13 00:00:00",1,RAISE6SEC,23,165,360,90,21,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_2,"2001/09/13 00:00:00",1,LOWER60SEC,60,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_2,"2001/09/13 00:00:00",1,LOWER6SEC,50,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_2,"2001/09/13 00:00:00",1,LOWERREG,15,165,360,45,90,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_2,"2001/09/13 00:00:00",1,RAISE60SEC,35,165,360,90,21,"2001/09/13 16:38:05"
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,CALL_B_2,"2001/09/13 00:00:00",1,RAISE6SEC,23,165,360,90,21,"2001/09/13 16:38:05"
...
C,"END OF REPORT",1003

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 1 of 2015. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 767 KB when zipped, 8 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

Tip

Bid deduplication is particularly tricky. See the guide.

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name Report Subtype Version
PARTICIPANT_REGISTRATION BIDDUIDDETAILS 1

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,...
D,PARTICIPANT_REGISTRATION,BIDDUIDDETAILS,1,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

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: PARTICIPANT_REGISTRATION