GDINSTRUCT
GDINSTRUCT shows all manually issued dispatch instructions for a dispatchable unit. Ancillary Service instructions are to enable and to disable (i.e. 2 separate instructions) a service. Non-conforming units are also instructed via this facility. However, this facility is not the same as the market notice.
Source
GDINSTRUCT updates on issue of an instruction by AEMO, with visibility restricted on the day of issue to the relevant participant. All participants have previous days' data available.
Column Schema
ID
Instruction ID (sequential number)
SQL Type: NUMBER(22,0)
Polars Type: pl.Int128
This column is mandatory, and a primary key.
Examples:
786809, 786811
AUTHORISEDBY
User authorised by
SQL Type: VARCHAR2(15)
Polars Type: str
This column is not mandatory.
Example: JDUQUE
AUTHORISEDDATE
Authorised 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: 2026/07/01 03:05:00
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.
Examples:
PPCCGTW/HOE#2
INSTLEVEL
Instruction target level
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
Examples:
0, 42
INSTRUCTIONCLASSID
Instruction class
SQL Type: VARCHAR2(10)
Polars Type: str
This column is not mandatory.
Example: NEMMCO
INSTRUCTIONSUBTYPEID
Instruction sub type
SQL Type: VARCHAR2(10)
Polars Type: str
This column is not mandatory.
Examples:
OFFSYNCOMPONSYNCOMP
INSTRUCTIONTYPEID
Instruction type
SQL Type: VARCHAR2(10)
Polars Type: str
This column is not mandatory.
Example: AS_RP
ISSUEDTIME
Date / time issued
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/07/01 03:05:00
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: 2026/07/01 02:56:48
PARTICIPANTID
Unique participant identifier
For more information, see the dedicated documentation page.
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is not mandatory.
Example: NPSAIL
REASON
Reason
SQL Type: VARCHAR2(64)
Polars Type: str
This column is not mandatory.
Example: Required for AS_RP_Voltage Control
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.
STATIONID
Station Identifier
For more information, see the dedicated documentation page.
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is not mandatory.
Example: NPPPPS
TARGETTIME
Date / time instruction to apply
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/06/30 22:35:00
New Data Timing
On instruction issued by AEMO
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(
"AUTHORISEDDATE", "ISSUEDTIME", "LASTCHANGED", "TARGETTIME"
).str.strptime(pl.Datetime, dt_s_fmt),
)
.cast(
{
"ID": int, # or pl.Int128
"AUTHORISEDBY": str,
"DUID": pl.Categorical,
"INSTLEVEL": int, # or pl.Int32
"INSTRUCTIONCLASSID": str,
"INSTRUCTIONSUBTYPEID": str,
"INSTRUCTIONTYPEID": str,
"PARTICIPANTID": pl.Categorical,
"REASON": str,
"REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
"STATIONID": pl.Categorical,
}
)
# Deduplicate
# We want one row per ['ID']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(subset=["ID"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_GDINSTRUCT_FILE01_202607010000.zip
| DUID | STATIONID | REGIONID | ID | INSTRUCTIONTYPEID | INSTRUCTIONSUBTYPEID | INSTRUCTIONCLASSID | REASON | INSTLEVEL | AUTHORISEDDATE | AUTHORISEDBY | PARTICIPANTID | ISSUEDTIME | TARGETTIME | LASTCHANGED |
| PPCCGT | NPPPPS | SA1 | 786809 | AS_RP | ONSYNCOMP | NEMMCO | Required for AS_RP_Voltage Control | 42 | 2026/07/01 03:05:00 | JDUQUE | NPSAIL | 2026/07/01 03:05:00 | 2026/06/30 22:35:00 | 2026/07/01 02:56:48 |
| PPCCGT | NPPPPS | SA1 | 786811 | AS_RP | OFFSYNCOMP | NEMMCO | Required for AS_RP_Voltage Control | 0 | 2026/07/01 03:05:00 | JDUQUE | NPSAIL | 2026/07/01 03:05:00 | 2026/06/30 23:59:00 | 2026/07/01 02:57:20 |
| C | SETP.WORLD | DVD_GDINSTRUCT | AEMO | PUBLIC | 2026/08/08 | 12:15:59 | 001786155359802 | MONTHLY_ARCHIVE | 001786155359802 | |||||||||
| I | GD_INSTRUCT | GDINSTRUCT | 1 | DUID | STATIONID | REGIONID | ID | INSTRUCTIONTYPEID | INSTRUCTIONSUBTYPEID | INSTRUCTIONCLASSID | REASON | INSTLEVEL | AUTHORISEDDATE | AUTHORISEDBY | PARTICIPANTID | ISSUEDTIME | TARGETTIME | LASTCHANGED |
| D | GD_INSTRUCT | GDINSTRUCT | 1 | PPCCGT | NPPPPS | SA1 | 786809 | AS_RP | ONSYNCOMP | NEMMCO | Required for AS_RP_Voltage Control | 42 | 2026/07/01 03:05:00 | JDUQUE | NPSAIL | 2026/07/01 03:05:00 | 2026/06/30 22:35:00 | 2026/07/01 02:56:48 |
| D | GD_INSTRUCT | GDINSTRUCT | 1 | PPCCGT | NPPPPS | SA1 | 786811 | AS_RP | OFFSYNCOMP | NEMMCO | Required for AS_RP_Voltage Control | 0 | 2026/07/01 03:05:00 | JDUQUE | NPSAIL | 2026/07/01 03:05:00 | 2026/06/30 23:59:00 | 2026/07/01 02:57:20 |
| C | END OF REPORT | 5 |
DUID,STATIONID,REGIONID,ID,INSTRUCTIONTYPEID,INSTRUCTIONSUBTYPEID,INSTRUCTIONCLASSID,REASON,INSTLEVEL,AUTHORISEDDATE,AUTHORISEDBY,PARTICIPANTID,ISSUEDTIME,TARGETTIME,LASTCHANGED
PPCCGT,NPPPPS,SA1,786809,AS_RP,ONSYNCOMP,NEMMCO,"Required for AS_RP_Voltage Control",42,"2026/07/01 03:05:00",JDUQUE,NPSAIL,"2026/07/01 03:05:00","2026/06/30 22:35:00","2026/07/01 02:56:48"
PPCCGT,NPPPPS,SA1,786811,AS_RP,OFFSYNCOMP,NEMMCO,"Required for AS_RP_Voltage Control",0,"2026/07/01 03:05:00",JDUQUE,NPSAIL,"2026/07/01 03:05:00","2026/06/30 23:59:00","2026/07/01 02:57:20"
C,SETP.WORLD,DVD_GDINSTRUCT,AEMO,PUBLIC,2026/08/08,12:15:59,001786155359802,MONTHLY_ARCHIVE,001786155359802
I,GD_INSTRUCT,GDINSTRUCT,1,DUID,STATIONID,REGIONID,ID,INSTRUCTIONTYPEID,INSTRUCTIONSUBTYPEID,INSTRUCTIONCLASSID,REASON,INSTLEVEL,AUTHORISEDDATE,AUTHORISEDBY,PARTICIPANTID,ISSUEDTIME,TARGETTIME,LASTCHANGED
D,GD_INSTRUCT,GDINSTRUCT,1,PPCCGT,NPPPPS,SA1,786809,AS_RP,ONSYNCOMP,NEMMCO,"Required for AS_RP_Voltage Control",42,"2026/07/01 03:05:00",JDUQUE,NPSAIL,"2026/07/01 03:05:00","2026/06/30 22:35:00","2026/07/01 02:56:48"
D,GD_INSTRUCT,GDINSTRUCT,1,PPCCGT,NPPPPS,SA1,786811,AS_RP,OFFSYNCOMP,NEMMCO,"Required for AS_RP_Voltage Control",0,"2026/07/01 03:05:00",JDUQUE,NPSAIL,"2026/07/01 03:05:00","2026/06/30 23:59:00","2026/07/01 02:57:20"
C,"END OF REPORT",5
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 7 of 2026.
Warning
There are some months with no files.
Data Size
Each year of data is approximately 7 KB when zipped, 67 KB as unzipped CSV.
Deduplication and PDR Loader Configuration
The primary keys are:
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.
| Report Name | Report Subtype | Version |
|---|---|---|
| GD_INSTRUCT | GDINSTRUCT | 1 |
This means that the CSV files start with metadata columns:
ROW_FILTER_TYPE is LASTCHANGED
Indexes
There is more than one index.
Index 1:
Index 2:
Index 3:
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: GD_INSTRUCT