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GENERICCONSTRAINTRHS

GENERICCONSTRAINTRHS sets out details of generic constraint Right Hand Side (RHS) formulations for dispatch (DS), predispatch (PD) and Short Term PASA (ST). GENERICCONSTRAINTRHS also includes general expressions (EQ) used in the dispatch, predispatch and PASA time frames. GENERICCONSTRAINTRHS replaces data previously available via the "Constraint Library” Excel spreadsheet.

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

Source

GENERICCONSTRAINTRHS updates whenever a new generic constraint RHS or expression is created or modified

Volume

Approximately 70,000 records per year

Note

GENERICEQUATIONRHS and GENERICEQUATIONDESC allow commonly used constraint right hand side formulations to be defined as a generic equation. Once defined, the generic equation can be referenced from any Generic constraint RHS formulation defined in GENERICCONSTRAINTRHS.

Column Schema

EFFECTIVEDATE

Effective date of this record

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

This column is mandatory, and a primary key.

Example: 2026/09/01 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: str

This column is mandatory, and a primary key.

Examples:

  • #R036713_001_RAMP_F
  • #R036713_001_RAMP_V
  • #R036714_001_RAMP_F
  • #R036714_001_RAMP_V
  • #R036715_001_RAMP_F
  • #R036715_001_RAMP_V
  • #R036715_002_RAMP_F
  • #R036715_002_RAMP_V
  • #R036715_003_RAMP_F
  • #R036715_003_RAMP_V

SCOPE

Scope of RHS term (DS, PD, ST or EQ)

SQL Type: VARCHAR2(2) Polars Type: str

This column is mandatory, and a primary key.

Examples:

  • DS
  • PD
  • ST

TERMID

The unique identifier for the a constraint RHS term

SQL Type: NUMBER(4,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 145

VERSIONNO

Version no of this record for the effective date

SQL Type: NUMBER(22,0) Polars Type: pl.UInt128

This column is mandatory, and a primary key.

Example: 1

DEFAULTVALUE

Default value if primary source given by SPD_ID and SPD_TYPE not available.

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

This column is not mandatory.

Examples: -26.5845, 57.4706, 0, 100000

FACTOR

Multiplier applied to operator result

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

This column is not mandatory.

Examples: -0.0051, 0.008, 0, 6

GROUPID

ID of super-term, if this is a sub-term

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

This column is not mandatory.

Example: 3

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: 2026/09/01 02:06:54

OPERATION

Unitary operator to apply to data value

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Examples:

  • ADD
  • DIV
  • MAX
  • MIN
  • MUL
  • PUSH
  • SUB

PARAMETERTERM1

The unique identifier for the first term (logic expression) to use in a Branch term

SQL Type: VARCHAR2(12) Polars Type: str

This column is not mandatory.

PARAMETERTERM2

The unique identifier for the second term (logic<=0 result) to use in a Branch term

SQL Type: VARCHAR2(12) Polars Type: str

This column is not mandatory.

PARAMETERTERM3

The unique identifier for the third term (logic>0 result) to use in a Branch term

SQL Type: VARCHAR2(12) Polars Type: str

This column is not mandatory.

SPD_ID

ID defining data source

SQL Type: VARCHAR2(21) Polars Type: str

This column is not mandatory.

Examples:

  • #R036713_001_RAMP_XE
  • #R036713_001_RAMP_XI
  • #R036713_RAMP_DI_LEFT
  • #R036714_001_RAMP_XE
  • #R036714_001_RAMP_XI
  • #R036714_RAMP_DI_LEFT
  • #R036715_001_RAMP_XE
  • #R036715_001_RAMP_XI
  • #R036715_002_RAMP_XE
  • #R036715_002_RAMP_XI

SPD_TYPE

ID describing type of data source

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

This column is not mandatory.

Examples:

  • A
  • C
  • E
  • G
  • I
  • R
  • T
  • U

New Data Timing

When a new generic constraint RHS or expression is created or 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(
        {
            "EFFECTIVEDATE": pl.Date(),
            "GENCONID": str,
            "SCOPE": str,
            "TERMID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt128
            "DEFAULTVALUE": pl.Float64,
            "FACTOR": pl.Float64,
            "GROUPID": int,  # or pl.Int16
            "OPERATION": str,
            "PARAMETERTERM1": str,
            "PARAMETERTERM2": str,
            "PARAMETERTERM3": str,
            "SPD_ID": str,
            "SPD_TYPE": pl.Categorical,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'GENCONID', 'SCOPE', 'TERMID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["EFFECTIVEDATE", "GENCONID", "SCOPE", "TERMID", "VERSIONNO"],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_GENERICCONSTRAINTRHS_FILE01_202609010000.zip

GENCONIDEFFECTIVEDATEVERSIONNOSCOPETERMIDGROUPIDSPD_IDSPD_TYPEFACTOROPERATIONDEFAULTVALUEPARAMETERTERM1PARAMETERTERM2PARAMETERTERM3LASTCHANGED
#R036713_001_RAMP_F2026/09/01 00:00:001DS1#R036713_001_RAMP_XEE1PUSH780.710482026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS2#R036713_001_RAMP_XIE1PUSH1000002026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS3LHS_GROUPG1PUSH02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS4MIN_XINIT_AND_LHSU1MIN02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS5#R036713_001_RAMP_XEE1PUSH780.710482026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS6DELTA_XEND_XINITU1SUB02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS7#R036713_RAMP_DI_LEFTE1PUSH02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS12DI_LEFT_MUL_XINITU1MUL02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS13DI_TOTALC6PUSH02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS16RAW_RAMP_INCREMENTU1DIV02026/09/01 02:06:54
#R036713_001_RAMP_F2026/09/01 00:00:001DS17ZERO_CONSTANTC0PUSH02026/09/01 02:06:54
...

CSETP.WORLDDVD_GENERICCONSTRAINTRHSAEMOPUBLIC2026/10/0915:36:40001791524200060MONTHLY_ARCHIVE001791524200060
IGCRHSNULL1GENCONIDEFFECTIVEDATEVERSIONNOSCOPETERMIDGROUPIDSPD_IDSPD_TYPEFACTOROPERATIONDEFAULTVALUEPARAMETERTERM1PARAMETERTERM2PARAMETERTERM3LASTCHANGED
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS1#R036713_001_RAMP_XEE1PUSH780.710482026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS2#R036713_001_RAMP_XIE1PUSH1000002026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS3LHS_GROUPG1PUSH02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS4MIN_XINIT_AND_LHSU1MIN02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS5#R036713_001_RAMP_XEE1PUSH780.710482026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS6DELTA_XEND_XINITU1SUB02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS7#R036713_RAMP_DI_LEFTE1PUSH02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS12DI_LEFT_MUL_XINITU1MUL02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS13DI_TOTALC6PUSH02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS16RAW_RAMP_INCREMENTU1DIV02026/09/01 02:06:54
DGCRHSNULL1#R036713_001_RAMP_F2026/09/01 00:00:001DS17ZERO_CONSTANTC0PUSH02026/09/01 02:06:54
...
CEND OF REPORT1003

GENCONID,EFFECTIVEDATE,VERSIONNO,SCOPE,TERMID,GROUPID,SPD_ID,SPD_TYPE,FACTOR,OPERATION,DEFAULTVALUE,PARAMETERTERM1,PARAMETERTERM2,PARAMETERTERM3,LASTCHANGED
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,1,,#R036713_001_RAMP_XE,E,1,PUSH,780.71048,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,2,,#R036713_001_RAMP_XI,E,1,PUSH,100000,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,3,,LHS_GROUP,G,1,PUSH,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,4,,MIN_XINIT_AND_LHS,U,1,MIN,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,5,,#R036713_001_RAMP_XE,E,1,PUSH,780.71048,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,6,,DELTA_XEND_XINIT,U,1,SUB,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,7,,#R036713_RAMP_DI_LEFT,E,1,PUSH,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,12,,DI_LEFT_MUL_XINIT,U,1,MUL,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,13,,DI_TOTAL,C,6,PUSH,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,16,,RAW_RAMP_INCREMENT,U,1,DIV,0,,,,"2026/09/01 02:06:54"
#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,17,,ZERO_CONSTANT,C,0,PUSH,0,,,,"2026/09/01 02:06:54"
...

C,SETP.WORLD,DVD_GENERICCONSTRAINTRHS,AEMO,PUBLIC,2026/10/09,15:36:40,001791524200060,MONTHLY_ARCHIVE,001791524200060
I,GCRHS,NULL,1,GENCONID,EFFECTIVEDATE,VERSIONNO,SCOPE,TERMID,GROUPID,SPD_ID,SPD_TYPE,FACTOR,OPERATION,DEFAULTVALUE,PARAMETERTERM1,PARAMETERTERM2,PARAMETERTERM3,LASTCHANGED
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,1,,#R036713_001_RAMP_XE,E,1,PUSH,780.71048,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,2,,#R036713_001_RAMP_XI,E,1,PUSH,100000,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,3,,LHS_GROUP,G,1,PUSH,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,4,,MIN_XINIT_AND_LHS,U,1,MIN,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,5,,#R036713_001_RAMP_XE,E,1,PUSH,780.71048,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,6,,DELTA_XEND_XINIT,U,1,SUB,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,7,,#R036713_RAMP_DI_LEFT,E,1,PUSH,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,12,,DI_LEFT_MUL_XINIT,U,1,MUL,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,13,,DI_TOTAL,C,6,PUSH,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,16,,RAW_RAMP_INCREMENT,U,1,DIV,0,,,,"2026/09/01 02:06:54"
D,GCRHS,NULL,1,#R036713_001_RAMP_F,"2026/09/01 00:00:00",1,DS,17,,ZERO_CONSTANT,C,0,PUSH,0,,,,"2026/09/01 02:06:54"
...
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 23 MB when zipped, 234 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
GCRHS NULL 1

This means that the CSV files start with metadata columns:

I,GCRHS,NULL,1,...
D,GCRHS,NULL,1,...

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: GENERIC_CONSTRAINT