SPDREGIONCONSTRAINT

SPDREGIONCONSTRAINT contains details on region demand constraint factors used in dispatch. SPDREGIONCONSTRAINTsets a LHS value.

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

Source

SPDREGIONCONSTRAINT is updated whenever AEMO creates new regional constraints.

Column Schema

BIDTYPE

AS Service type - relates to the BidType table; one of (RAISE6SEC, RAISE60SEC, RAISE5MIN, LOWER6SEC, LOWER60SEC, LOWER5MIN, RAISEREG, LOWERREG)

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.

EFFECTIVEDATE

Effective date of this record

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

This column is mandatory, and a primary key.

Example: 2026/09/02 00:00:00

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

GENCONID

Generic Constraint Identifier

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

This column is mandatory, and a primary key.

Examples:

#R036725_001_RAMP_F
#R036725_001_RAMP_V
#R036725_002_RAMP_F
#R036725_002_RAMP_V
#R036725_003_RAMP_F
#R036725_003_RAMP_V
#R036725_004_RAMP_F
#R036725_004_RAMP_V
#R036725_005_RAMP_F
#R036725_005_RAMP_V

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 mandatory, and a primary key.

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.

Example: 1

FACTOR

Constraint factor; one of (-1, 1)

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

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: 2026/09/02 02:06:53

New Data Timing

When AEMO creates new regional constraints

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",
                ]
            ),
            "EFFECTIVEDATE": pl.Date(),
            "GENCONID": pl.Categorical,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "VERSIONNO": int,  # or pl.UInt16
            "FACTOR": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['BIDTYPE', 'EFFECTIVEDATE', 'GENCONID', 'REGIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["BIDTYPE", "EFFECTIVEDATE", "GENCONID", "REGIONID", "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',
    "SPDREGIONCONSTRAINT",
    "data/"
)

Example File

From PUBLIC_ARCHIVE_SPDREGIONCONSTRAINT_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

REGIONID	EFFECTIVEDATE	VERSIONNO	GENCONID	FACTOR	LASTCHANGED	BIDTYPE
NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
SA1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
SA1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
VIC1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
VIC1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWER5MIN
NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWERREG
QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWER5MIN
...

C	SETP.WORLD	DVD_SPDREGIONCONSTRAINT	AEMO	PUBLIC	2026/10/09	16:34:07	001791527647079	MONTHLY_ARCHIVE	001791527647079
I	SPDRC	NULL	2	REGIONID	EFFECTIVEDATE	VERSIONNO	GENCONID	FACTOR	LASTCHANGED	BIDTYPE
D	SPDRC	NULL	2	NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
D	SPDRC	NULL	2	NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
D	SPDRC	NULL	2	QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
D	SPDRC	NULL	2	QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
D	SPDRC	NULL	2	SA1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
D	SPDRC	NULL	2	SA1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
D	SPDRC	NULL	2	VIC1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWER5MIN
D	SPDRC	NULL	2	VIC1	2026/09/02 00:00:00	1	#R036725_004_RAMP_V	1	2026/09/02 02:06:53	LOWERREG
D	SPDRC	NULL	2	NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWER5MIN
D	SPDRC	NULL	2	NSW1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWERREG
D	SPDRC	NULL	2	QLD1	2026/09/02 00:00:00	1	#R036725_004_RAMP_F	1	2026/09/02 02:06:53	LOWER5MIN
...
C	END OF REPORT	117

REGIONID,EFFECTIVEDATE,VERSIONNO,GENCONID,FACTOR,LASTCHANGED,BIDTYPE
NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
SA1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
SA1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
VIC1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
VIC1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWER5MIN
NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWERREG
QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWER5MIN
...

Raw Text with Metadata

C,SETP.WORLD,DVD_SPDREGIONCONSTRAINT,AEMO,PUBLIC,2026/10/09,16:34:07,001791527647079,MONTHLY_ARCHIVE,001791527647079
I,SPDRC,NULL,2,REGIONID,EFFECTIVEDATE,VERSIONNO,GENCONID,FACTOR,LASTCHANGED,BIDTYPE
D,SPDRC,NULL,2,NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
D,SPDRC,NULL,2,NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
D,SPDRC,NULL,2,QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
D,SPDRC,NULL,2,QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
D,SPDRC,NULL,2,SA1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
D,SPDRC,NULL,2,SA1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
D,SPDRC,NULL,2,VIC1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWER5MIN
D,SPDRC,NULL,2,VIC1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_V,1,"2026/09/02 02:06:53",LOWERREG
D,SPDRC,NULL,2,NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWER5MIN
D,SPDRC,NULL,2,NSW1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWERREG
D,SPDRC,NULL,2,QLD1,"2026/09/02 00:00:00",1,#R036725_004_RAMP_F,1,"2026/09/02 02:06:53",LOWER5MIN
...
C,"END OF REPORT",117

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.

Warning

There are some months with no files.

Data Size

Each year of data is approximately 12 KB when zipped, 116 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

BIDTYPE
EFFECTIVEDATE
GENCONID
REGIONID
VERSIONNO

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: