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STADUALLOC

STADUALLOC sets out details on the allocation of dispatchable units to particular sites or stations.

STADUALLOC is public data, and is available to all participants.

Source

STADUALLOC is updated whenever there is a station configuration change or new unit registration.

Column Schema

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:

  • ADPBA1G
  • ADPBA1L
  • ADPMH1
  • ADPPV1
  • ADPPV2
  • ADPPV3
  • AGLHAL
  • AGLNOW1
  • AGLSITA1
  • AGLSOM

EFFECTIVEDATE

Effective date of this record

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

This column is mandatory, and a primary key.

Example: 1998/10/25 00:00:00

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

STATIONID

Station 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.

Examples:

  • ADP
  • AGLHAL
  • AGLNOW1
  • AGLSITA
  • AGLSOM
  • AMCORGR
  • ANGASTON
  • APPIN
  • APS
  • ARWF

VERSIONNO

Version no of this record for the effective date

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

This column is mandatory, and a primary key.

Examples: 1, 51

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: 1998/11/02 12:11:30

New Data Timing

When there is a station configuration change or new unit registration

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(
        {
            "DUID": pl.Categorical,
            "EFFECTIVEDATE": pl.Date(),
            "STATIONID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'EFFECTIVEDATE', 'STATIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["DUID", "EFFECTIVEDATE", "STATIONID", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_STADUALLOC_FILE01_202609010000.zip

DUIDEFFECTIVEDATESTATIONIDVERSIONNOLASTCHANGED
ADPBA1G2021/04/20 00:00:00ADP12021/04/16 15:29:37
ADPBA1L2021/04/20 00:00:00ADP12021/04/16 15:29:37
ADPPV12021/04/20 00:00:00ADP12021/04/16 15:29:37
ADPBA1G2021/11/09 00:00:00ADP12021/11/05 14:34:55
ADPBA1L2021/11/09 00:00:00ADP12021/11/05 14:34:55
ADPMH12021/11/09 00:00:00ADP12021/11/05 14:34:55
ADPPV12021/11/09 00:00:00ADP12021/11/05 14:34:55
ADPPV22021/11/09 00:00:00ADP12021/11/05 14:34:55
ADPPV32021/11/09 00:00:00ADP12021/11/05 14:34:55
AGLHAL2001/12/18 00:00:00AGLHAL32001/12/18 08:55:45
AGLHAL2002/01/10 00:00:00AGLHAL42002/01/10 09:55:38
...

CSETP.WORLDDVD_STADUALLOCAEMOPUBLIC2026/10/0916:34:17001791527657616MONTHLY_ARCHIVE001791527657616
IPARTICIPANT_REGISTRATIONSTADUALLOC1DUIDEFFECTIVEDATESTATIONIDVERSIONNOLASTCHANGED
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPBA1G2021/04/20 00:00:00ADP12021/04/16 15:29:37
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPBA1L2021/04/20 00:00:00ADP12021/04/16 15:29:37
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPPV12021/04/20 00:00:00ADP12021/04/16 15:29:37
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPBA1G2021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPBA1L2021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPMH12021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPPV12021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPPV22021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1ADPPV32021/11/09 00:00:00ADP12021/11/05 14:34:55
DPARTICIPANT_REGISTRATIONSTADUALLOC1AGLHAL2001/12/18 00:00:00AGLHAL32001/12/18 08:55:45
DPARTICIPANT_REGISTRATIONSTADUALLOC1AGLHAL2002/01/10 00:00:00AGLHAL42002/01/10 09:55:38
...
CEND OF REPORT1003

DUID,EFFECTIVEDATE,STATIONID,VERSIONNO,LASTCHANGED
ADPBA1G,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
ADPBA1L,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
ADPPV1,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
ADPBA1G,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
ADPBA1L,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
ADPMH1,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
ADPPV1,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
ADPPV2,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
ADPPV3,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
AGLHAL,"2001/12/18 00:00:00",AGLHAL,3,"2001/12/18 08:55:45"
AGLHAL,"2002/01/10 00:00:00",AGLHAL,4,"2002/01/10 09:55:38"
...

C,SETP.WORLD,DVD_STADUALLOC,AEMO,PUBLIC,2026/10/09,16:34:17,001791527657616,MONTHLY_ARCHIVE,001791527657616
I,PARTICIPANT_REGISTRATION,STADUALLOC,1,DUID,EFFECTIVEDATE,STATIONID,VERSIONNO,LASTCHANGED
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPBA1G,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPBA1L,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPPV1,"2021/04/20 00:00:00",ADP,1,"2021/04/16 15:29:37"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPBA1G,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPBA1L,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPMH1,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPPV1,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPPV2,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,ADPPV3,"2021/11/09 00:00:00",ADP,1,"2021/11/05 14:34:55"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,AGLHAL,"2001/12/18 00:00:00",AGLHAL,3,"2001/12/18 08:55:45"
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,AGLHAL,"2002/01/10 00:00:00",AGLHAL,4,"2002/01/10 09:55:38"
...
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 380 KB when zipped, 4 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

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
PARTICIPANT_REGISTRATION STADUALLOC 1

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,STADUALLOC,1,...
D,PARTICIPANT_REGISTRATION,STADUALLOC,1,...

Indexes

There is more than one index.

Index 1:

Index 2:

Index 3:

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