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DUDETAIL

DUDETAIL sets out a records specific details for each unit including start type and whether normally on or off load. Much of this data is information only and is not used in dispatch or settlements.

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

Source

DUDETAIL updates only when registration details change.

Note

To find the current set of details for selected dispatchable units, query the participant's local database as follows.

Select du.* from dudetail du

where (du.EFFECTIVEDATE, du.VERSIONNO) =

(

select effectivedate, max(versionno)

from dudetail

where EFFECTIVEDATE = (select max(effectivedate)

from dudetail

where EFFECTIVEDATE \<= sysdate

and duid = du.duid

and authoriseddate is not null)

and duid = du.duid

and authoriseddate is not null

group by effectivedate

)

and du.duid in ('UNIT1', 'UNIT2')

;

The following notes apply to this SQL code:

· This table is specific to dispatch units only.

· If you wish to query details for a different date, substitute a date expression for "sysdate" in the "where EFFECTIVEDATE \<= sysdate" clause.

· If you wish to list all the units, remove the line "and du.duid in ('UNIT1', 'UNIT2')"

· The DUDETAIL table does not indicate if a unit is active; this is done through ownership (STADUALLOC) by an active station owned by an active participant (STATIONOWNER )

· If you wish to query Station details refer to STATION, STATIONOWNER and STADUALLOC.

· If you wish to look at connection point loss factors, refer to TRANSMISSIONLOSSFACTOR.

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:

  • APD01
  • APD02
  • APS
  • BARCALDN
  • BARRON-1
  • BARRON-2
  • BAYNL1
  • BDL01
  • BHASZINC
  • BLOWER

EFFECTIVEDATE

Effective calendar date of 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.

VERSIONNO

version of Dispatchable Unit details for this effective date

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

This column is mandatory, and a primary key.

Examples: 1, 48

ADG_ID

Aggregate Dispatch Group to which this dispatch unit belongs

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

AGCCAPABILITY

AGC Capability flag

SQL Type: VARCHAR2(1) Polars Type: pl.Boolean

This column is not mandatory.

AEMO's documentation says this is a string type, even though it is logically a binary value. You may want to map letters to a boolean with {'Y': 1, 'N': 0}.

AGGREGATED

Identifies if a unit is aggregated. This flag was initially added in GENUNITS_UNIT table which is now deprecated with IESS release.

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

This column is not mandatory.

AUTHORISEDBY

User authorising record

SQL Type: VARCHAR2(15) Polars Type: str

This column is not mandatory.

Example: BATCH

AUTHORISEDDATE

Date record authorised

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: 1998/10/28 12:08:27

CONNECTIONPOINTID

Country wide - Unique id of a connection point

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

This column is not mandatory.

Examples:

  • NBAY1
  • NBAY2
  • NBAY3
  • NBAY4
  • NBAYL
  • NBKG1
  • NBKG2
  • NBLW
  • NBLW1
  • NBLW8

DISPATCHSUBTYPE

Additional information for DISPATCHTYPE. For DISPATCHTYPE = LOAD, subtype value is WDR for wholesale demand response units. For DISPATCHTYPE = LOAD, subtype value is NULL for Scheduled Loads. For DISPATCHTYPE = GENERATOR type, the subtype value is NULL.

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is not mandatory.

DISPATCHTYPE

Identifies LOAD, GENERATOR or BIDIRECTIONAL.

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

  • GENERATOR

  • LOAD

  • BIDIRECTIONAL

This column is not mandatory.

INTERMITTENTFLAG

Indicate whether a unit is intermittent (e.g. a wind farm)

SQL Type: VARCHAR(1) Polars Type: pl.Boolean

This column is not mandatory.

AEMO's documentation says this is a string type, even though it is logically a binary value. You may want to map letters to a boolean with {'Y': 1, 'N': 0}.

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: 2008/12/10 09:21:25

LOAD_MIN_RAMP_RATE_DOWN

Calculated Minimum Ramp Rate Down value accepted for Energy Offers or Bids on BDU Load component with explanation for energy imports (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

LOAD_MIN_RAMP_RATE_UP

Calculated Minimum Ramp Rate Up value accepted for Energy Offers or Bids on BDU Load component with explanation for energy imports (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXCAPACITY

Maximum Capacity as used for bid validation

Warning

AEMO's documentation says that this is an integer (NUMBER(6,0)). Actually, the values in the CSV have fractional components.

SQL Type: NUMBER(6,1) Polars Type: pl.Float64

This column is not mandatory.

Examples: 13.55, 1, 137.5, 3756

MAXRATEOFCHANGEDOWN

Maximum ramp down rate for Unit (Mw/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXRATEOFCHANGEDOWN_LOAD

Lower Ramp rate applied to BDU Load component (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXRATEOFCHANGEUP

Maximum ramp up rate for Unit (Mw/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXRATEOFCHANGEUP_LOAD

Raise Ramp rate applied to BDU Load component (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXSTORAGECAPACITY

The rated storage capacity (MWh), information only

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

This column is not mandatory.

MIN_RAMP_RATE_DOWN

Calculated Minimum Ramp Rate Down value accepted for Energy Offers or Bids with explanation for energy imports (all DUID types and BDU Generation side) (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MIN_RAMP_RATE_UP

Calculated Minimum Ramp Rate Up value accepted for Energy Offers or Bids with explanation for energy imports (all DUID types and BDU Generation side) (MW/min)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MINCAPACITY

Minimum capacity only for load side of BDU, otherwise 0 (MW)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

NORMALLYONFLAG

For a dispatchable load indicates that the load is normally on or off.

SQL Type: VARCHAR2(1) Polars Type: pl.Categorical

This column is not mandatory.

Examples:

  • N
  • Y

PHYSICALDETAILSFLAG

Indicates that the physical details for this unit are to be recorded

SQL Type: VARCHAR2(1) Polars Type: pl.Categorical

This column is not mandatory.

REGISTEREDCAPACITY

Registered capacity for normal operations

Warning

AEMO's documentation says that this is an integer (NUMBER(6,0)). Actually, the values in the CSV have fractional components.

SQL Type: NUMBER(6,1) Polars Type: pl.Float64

This column is not mandatory.

Examples: 13.55, 1, 137.5, 3756

REGISTEREDMINCAPACITY

Registered minimum capacity only for load side of BDU, otherwise 0 (MW)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

SEMISCHEDULE_FLAG

Indicates if the DUID is a Semi-Scheduled Unit

SQL Type: VARCHAR2(1) Polars Type: pl.Categorical

This column is not mandatory.

Example: N

SPINNINGRESERVEFLAG

Indicates spinning reserve capability

SQL Type: VARCHAR2(1) Polars Type: pl.Categorical

This column is not mandatory.

Examples:

  • N
  • Y

STARTTYPE

Identify unit as Fast or Slow

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is not mandatory.

Examples:

  • FAST
  • NOT DISPATCHED
  • SLOW

STORAGEEXPORTEFFICIENCYFACTOR

The storage energy export conversion efficiency. Number from 0 to 1 where 1 is lossless. Calculated as (decrease in exported energy / decrease in stored energy)

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

This column is not mandatory.

STORAGEIMPORTEFFICIENCYFACTOR

The storage energy import conversion efficiency. Number from 0 to 1 where 1 is lossless. Calculated as (increase in stored energy / increase in imported energy)

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

This column is not mandatory.

VOLTLEVEL

Voltage Level

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Examples:

  • 11
  • 500

New Data Timing

When registration details change

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("AGCCAPABILITY").replace({"Y": 1, "N": 0}),
        pl.col("INTERMITTENTFLAG").replace({"Y": 1, "N": 0}),
    )
    .with_columns(
        pl.col("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast(
        {
            "AGCCAPABILITY": pl.UInt8,
            "AGGREGATED": pl.UInt8,
            "INTERMITTENTFLAG": pl.UInt8,
        }
    )
    .cast(
        {
            "DUID": pl.Categorical,
            "EFFECTIVEDATE": pl.Date(),
            "VERSIONNO": int,  # or pl.UInt16
            "ADG_ID": str,
            "AGCCAPABILITY": pl.Boolean,
            "AGGREGATED": pl.Boolean,
            "AUTHORISEDBY": str,
            "CONNECTIONPOINTID": pl.Categorical,
            "DISPATCHSUBTYPE": pl.Categorical,
            "DISPATCHTYPE": pl.Enum(["GENERATOR", "LOAD", "BIDIRECTIONAL"]),
            "INTERMITTENTFLAG": pl.Boolean,
            "LOAD_MIN_RAMP_RATE_DOWN": int,  # or pl.Int32
            "LOAD_MIN_RAMP_RATE_UP": int,  # or pl.Int32
            "MAXCAPACITY": pl.Float64,
            "MAXRATEOFCHANGEDOWN": int,  # or pl.Int32
            "MAXRATEOFCHANGEDOWN_LOAD": int,  # or pl.Int32
            "MAXRATEOFCHANGEUP": int,  # or pl.Int32
            "MAXRATEOFCHANGEUP_LOAD": int,  # or pl.Int32
            "MAXSTORAGECAPACITY": pl.Float64,
            "MIN_RAMP_RATE_DOWN": int,  # or pl.Int32
            "MIN_RAMP_RATE_UP": int,  # or pl.Int32
            "MINCAPACITY": int,  # or pl.Int32
            "NORMALLYONFLAG": pl.Categorical,
            "PHYSICALDETAILSFLAG": pl.Categorical,
            "REGISTEREDCAPACITY": pl.Float64,
            "REGISTEREDMINCAPACITY": int,  # or pl.Int32
            "SEMISCHEDULE_FLAG": pl.Categorical,
            "SPINNINGRESERVEFLAG": pl.Categorical,
            "STARTTYPE": pl.Categorical,
            "STORAGEEXPORTEFFICIENCYFACTOR": pl.Float64,
            "STORAGEIMPORTEFFICIENCYFACTOR": pl.Float64,
            "VOLTLEVEL": str,
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'EFFECTIVEDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["DUID", "EFFECTIVEDATE", "VERSIONNO"], keep="last")
)

Nemosis

from nemosis import dynamic_data_compiler

df = dynamic_data_compiler(
    '2024/01/01 00:00:00',
    '2024/01/31 00:00:00',
    "DUDETAIL",
    "data/"
)

Nemosis only includes a subset of columns by default, as an optimisation. (i.e. the commonly used columns.) To include others:

from nemosis import defaults

defaults.table_columns["DUDETAIL"] += ["ADG_ID", "AGGREGATED", "AUTHORISEDBY", "AUTHORISEDDATE", "DISPATCHSUBTYPE", "INTERMITTENTFLAG", "LOAD_MIN_RAMP_RATE_DOWN", "LOAD_MIN_RAMP_RATE_UP", "MAXRATEOFCHANGEDOWN", "MAXRATEOFCHANGEDOWN_LOAD", "MAXRATEOFCHANGEUP", "MAXRATEOFCHANGEUP_LOAD", "MAXSTORAGECAPACITY", "MIN_RAMP_RATE_DOWN", "MIN_RAMP_RATE_UP", "MINCAPACITY", "PHYSICALDETAILSFLAG", "REGISTEREDMINCAPACITY", "SEMISCHEDULE_FLAG", "SPINNINGRESERVEFLAG", "STORAGEEXPORTEFFICIENCYFACTOR", "STORAGEIMPORTEFFICIENCYFACTOR", "VOLTLEVEL"]
df = dynamic_data_compiler(...)

Example File

From PUBLIC_ARCHIVE_DUDETAIL_FILE01_202609010000.zip

EFFECTIVEDATEDUIDVERSIONNOCONNECTIONPOINTIDVOLTLEVELREGISTEREDCAPACITYAGCCAPABILITYDISPATCHTYPEMAXCAPACITYSTARTTYPENORMALLYONFLAGPHYSICALDETAILSFLAGSPINNINGRESERVEFLAGAUTHORISEDBYAUTHORISEDDATELASTCHANGEDINTERMITTENTFLAGSEMISCHEDULE_FLAGMAXRATEOFCHANGEUPMAXRATEOFCHANGEDOWNDISPATCHSUBTYPEADG_IDMINCAPACITYREGISTEREDMINCAPACITYMAXRATEOFCHANGEUP_LOADMAXRATEOFCHANGEDOWN_LOADMAXSTORAGECAPACITYSTORAGEIMPORTEFFICIENCYFACTORSTORAGEEXPORTEFFICIENCYFACTORMIN_RAMP_RATE_UPMIN_RAMP_RATE_DOWNLOAD_MIN_RAMP_RATE_UPLOAD_MIN_RAMP_RATE_DOWNAGGREGATED
1998/10/26 00:00:00LD011NLDP1330500YGENERATOR550SLOWYBATCH1998/10/28 12:08:272008/12/10 09:21:25NN
1998/10/25 00:00:00OSB011SNBN166118NGENERATOR118SLOWNBATCH1998/10/29 18:06:362008/12/10 09:21:25NN
1998/10/25 00:00:00OSB021SNBN26662NGENERATOR62SLOWNBATCH1998/10/29 18:06:362008/12/10 09:21:25NN
1998/10/26 00:00:00LD012NLDP1330500YGENERATOR550SLOWYBATCH1998/10/29 18:52:512008/12/10 09:21:25NN
1998/10/25 00:00:00NPS12SNPA1275265YGENERATOR280SLOWYBATCH1998/11/02 12:10:492008/12/10 09:21:25NN
1998/10/25 00:00:00NPS22SNPA2275265YGENERATOR280SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
1998/10/25 00:00:00PLAYFB12SPSD127560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
1998/10/25 00:00:00PLAYFB22SPSD227560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
1998/10/25 00:00:00PLAYFB32SPSD327560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
1998/10/25 00:00:00PLAYFB42SPSD427560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
1998/10/25 00:00:00CALL_A_12QCAA113230NGENERATOR30SLOWYBATCH1998/11/02 12:11:392008/12/10 09:21:25NN
...

CSETP.WORLDDVD_DUDETAILAEMOPUBLIC2026/10/0915:36:33001791524193601MONTHLY_ARCHIVE001791524193601
IPARTICIPANT_REGISTRATIONDUDETAIL7EFFECTIVEDATEDUIDVERSIONNOCONNECTIONPOINTIDVOLTLEVELREGISTEREDCAPACITYAGCCAPABILITYDISPATCHTYPEMAXCAPACITYSTARTTYPENORMALLYONFLAGPHYSICALDETAILSFLAGSPINNINGRESERVEFLAGAUTHORISEDBYAUTHORISEDDATELASTCHANGEDINTERMITTENTFLAGSEMISCHEDULE_FLAGMAXRATEOFCHANGEUPMAXRATEOFCHANGEDOWNDISPATCHSUBTYPEADG_IDMINCAPACITYREGISTEREDMINCAPACITYMAXRATEOFCHANGEUP_LOADMAXRATEOFCHANGEDOWN_LOADMAXSTORAGECAPACITYSTORAGEIMPORTEFFICIENCYFACTORSTORAGEEXPORTEFFICIENCYFACTORMIN_RAMP_RATE_UPMIN_RAMP_RATE_DOWNLOAD_MIN_RAMP_RATE_UPLOAD_MIN_RAMP_RATE_DOWNAGGREGATED
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/26 00:00:00LD011NLDP1330500YGENERATOR550SLOWYBATCH1998/10/28 12:08:272008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00OSB011SNBN166118NGENERATOR118SLOWNBATCH1998/10/29 18:06:362008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00OSB021SNBN26662NGENERATOR62SLOWNBATCH1998/10/29 18:06:362008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/26 00:00:00LD012NLDP1330500YGENERATOR550SLOWYBATCH1998/10/29 18:52:512008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00NPS12SNPA1275265YGENERATOR280SLOWYBATCH1998/11/02 12:10:492008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00NPS22SNPA2275265YGENERATOR280SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00PLAYFB12SPSD127560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00PLAYFB22SPSD227560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00PLAYFB32SPSD327560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00PLAYFB42SPSD427560NGENERATOR63SLOWYBATCH1998/11/02 12:10:502008/12/10 09:21:25NN
DPARTICIPANT_REGISTRATIONDUDETAIL71998/10/25 00:00:00CALL_A_12QCAA113230NGENERATOR30SLOWYBATCH1998/11/02 12:11:392008/12/10 09:21:25NN
...
CEND OF REPORT1003

EFFECTIVEDATE,DUID,VERSIONNO,CONNECTIONPOINTID,VOLTLEVEL,REGISTEREDCAPACITY,AGCCAPABILITY,DISPATCHTYPE,MAXCAPACITY,STARTTYPE,NORMALLYONFLAG,PHYSICALDETAILSFLAG,SPINNINGRESERVEFLAG,AUTHORISEDBY,AUTHORISEDDATE,LASTCHANGED,INTERMITTENTFLAG,SEMISCHEDULE_FLAG,MAXRATEOFCHANGEUP,MAXRATEOFCHANGEDOWN,DISPATCHSUBTYPE,ADG_ID,MINCAPACITY,REGISTEREDMINCAPACITY,MAXRATEOFCHANGEUP_LOAD,MAXRATEOFCHANGEDOWN_LOAD,MAXSTORAGECAPACITY,STORAGEIMPORTEFFICIENCYFACTOR,STORAGEEXPORTEFFICIENCYFACTOR,MIN_RAMP_RATE_UP,MIN_RAMP_RATE_DOWN,LOAD_MIN_RAMP_RATE_UP,LOAD_MIN_RAMP_RATE_DOWN,AGGREGATED
"1998/10/26 00:00:00",LD01,1,NLDP1,330,500,Y,GENERATOR,550,SLOW,,,Y,BATCH,"1998/10/28 12:08:27","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",OSB01,1,SNBN1,66,118,N,GENERATOR,118,SLOW,,,N,BATCH,"1998/10/29 18:06:36","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",OSB02,1,SNBN2,66,62,N,GENERATOR,62,SLOW,,,N,BATCH,"1998/10/29 18:06:36","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/26 00:00:00",LD01,2,NLDP1,330,500,Y,GENERATOR,550,SLOW,,,Y,BATCH,"1998/10/29 18:52:51","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",NPS1,2,SNPA1,275,265,Y,GENERATOR,280,SLOW,,,Y,BATCH,"1998/11/02 12:10:49","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",NPS2,2,SNPA2,275,265,Y,GENERATOR,280,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",PLAYFB1,2,SPSD1,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",PLAYFB2,2,SPSD2,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",PLAYFB3,2,SPSD3,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",PLAYFB4,2,SPSD4,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
"1998/10/25 00:00:00",CALL_A_1,2,QCAA1,132,30,N,GENERATOR,30,SLOW,,,Y,BATCH,"1998/11/02 12:11:39","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
...

C,SETP.WORLD,DVD_DUDETAIL,AEMO,PUBLIC,2026/10/09,15:36:33,001791524193601,MONTHLY_ARCHIVE,001791524193601
I,PARTICIPANT_REGISTRATION,DUDETAIL,7,EFFECTIVEDATE,DUID,VERSIONNO,CONNECTIONPOINTID,VOLTLEVEL,REGISTEREDCAPACITY,AGCCAPABILITY,DISPATCHTYPE,MAXCAPACITY,STARTTYPE,NORMALLYONFLAG,PHYSICALDETAILSFLAG,SPINNINGRESERVEFLAG,AUTHORISEDBY,AUTHORISEDDATE,LASTCHANGED,INTERMITTENTFLAG,SEMISCHEDULE_FLAG,MAXRATEOFCHANGEUP,MAXRATEOFCHANGEDOWN,DISPATCHSUBTYPE,ADG_ID,MINCAPACITY,REGISTEREDMINCAPACITY,MAXRATEOFCHANGEUP_LOAD,MAXRATEOFCHANGEDOWN_LOAD,MAXSTORAGECAPACITY,STORAGEIMPORTEFFICIENCYFACTOR,STORAGEEXPORTEFFICIENCYFACTOR,MIN_RAMP_RATE_UP,MIN_RAMP_RATE_DOWN,LOAD_MIN_RAMP_RATE_UP,LOAD_MIN_RAMP_RATE_DOWN,AGGREGATED
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/26 00:00:00",LD01,1,NLDP1,330,500,Y,GENERATOR,550,SLOW,,,Y,BATCH,"1998/10/28 12:08:27","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",OSB01,1,SNBN1,66,118,N,GENERATOR,118,SLOW,,,N,BATCH,"1998/10/29 18:06:36","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",OSB02,1,SNBN2,66,62,N,GENERATOR,62,SLOW,,,N,BATCH,"1998/10/29 18:06:36","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/26 00:00:00",LD01,2,NLDP1,330,500,Y,GENERATOR,550,SLOW,,,Y,BATCH,"1998/10/29 18:52:51","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",NPS1,2,SNPA1,275,265,Y,GENERATOR,280,SLOW,,,Y,BATCH,"1998/11/02 12:10:49","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",NPS2,2,SNPA2,275,265,Y,GENERATOR,280,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",PLAYFB1,2,SPSD1,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",PLAYFB2,2,SPSD2,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",PLAYFB3,2,SPSD3,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",PLAYFB4,2,SPSD4,275,60,N,GENERATOR,63,SLOW,,,Y,BATCH,"1998/11/02 12:10:50","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,"1998/10/25 00:00:00",CALL_A_1,2,QCAA1,132,30,N,GENERATOR,30,SLOW,,,Y,BATCH,"1998/11/02 12:11:39","2008/12/10 09:21:25",N,N,,,,,,,,,,,,,,,,
...
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 965 KB when zipped, 10 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 DUDETAIL 6
PARTICIPANT_REGISTRATION DUDETAIL 7

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,DUDETAIL,6,...
D,PARTICIPANT_REGISTRATION,DUDETAIL,6,...

or

I,PARTICIPANT_REGISTRATION,DUDETAIL,7,...
D,PARTICIPANT_REGISTRATION,DUDETAIL,7,...

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