DISPATCH_FCAS_REQ

DISPATCH_FCAS_REQ shows Dispatch Constraint tracking for Regional FCAS recovery.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

DISPATCH_FCAS_REQ is public data and is available to all participants.

Source

DISPATCH_FCAS_REQ updates with each dispatch run (5 minutes).

Volume

Approximately 10,000 rows per day

Column Schema

BIDTYPE

DUID offered type

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.

GENCONID

Generic Constraint ID - Join to table GenConData

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

D_I+BIP_ML2_L1
D_I+NIL_MG2_R1
D_T+NIL_BB_TG_R1
D_T+NIL_MG_R1
D_T+NIL_MG_RECL_R1
D_T+NIL_ML_L1
D_T+NIL_ML_RECL_L1
D_T+NIL_TL_L1_DS
D_T+NIL_WF_TG_R1
F_I+BIP_ML_L1

INTERVENTION

Intervention Flag

For more information, see the dedicated documentation page.

SQL Type: NUMBER(2,0) Polars Type: pl.Boolean

This column is mandatory, and a primary key.

Example: 0

REGIONID

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.

SETTLEMENTDATE

Settlement date and time of Dispatch Interval

Warning

Despite what the name suggests, this is a datetime, not a date.

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

This column is mandatory, and a primary key.

Example: 2025/05/01 00:05:00

RUNNO

Dispatch run no; always 1

This column only ever takes one value: 1

(The SQL type is NUMBER(3,0).)

AEMO marked this column as mandatory, and a primary key. However, since it only ever takes one value, you can ignore it.

ADJUSTED_COST

The adjusted cost of the constraint for this service, before the regulation/contingency split

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.04272329, 0, 81.45833333

BASE_COST

The base cost of the constraint for this service, before the regulation/contingency split

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.04272329, 0, 81.45833333

ESTIMATED_CMPF

An estimated value for the constraint CMPF, based on dispatched data

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 4.81533, 0, 64.8178

ESTIMATED_CRMPF

An estimated value for the constraint CRMPF, based on dispatched data

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1.81947056, 0, 35.18220213

GENCONEFFECTIVEDATE

Generic Constraint EffectiveDate - Join to table GenConData

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

This column is not mandatory.

Example: 2013/08/21 00:00:00

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

GENCONVERSIONNO

Generic Constraint Version number - Join to table GenConData

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

This column is not mandatory.

Example: 1

LASTCHANGED

Date record is changed

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2025/05/01 00:00:03

MARGINALVALUE

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

This column is not mandatory.

Examples: 0.01, 0, 5.99

RECOVERY_FACTOR_CMPF

Estimated recovery factor for CMPF based recovery

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.01504032, 0, 3.75545074

RECOVERY_FACTOR_CRMPF

Estimated recovery factor for CRMPF based recovery

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.00002538, 0, 0.00633735

New Data Timing

Each dispatch run (5 minutes)

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("SETTLEMENTDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("GENCONEFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"INTERVENTION": pl.UInt8})
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "GENCONID": str,
            "INTERVENTION": pl.Boolean,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RUNNO": pl.Enum(["1"]),
            "ADJUSTED_COST": pl.Float64,
            "BASE_COST": pl.Float64,
            "ESTIMATED_CMPF": pl.Float64,
            "ESTIMATED_CRMPF": pl.Float64,
            "GENCONEFFECTIVEDATE": pl.Date(),
            "GENCONVERSIONNO": int,  # or pl.Int16
            "MARGINALVALUE": pl.Float64,
            "RECOVERY_FACTOR_CMPF": pl.Float64,
            "RECOVERY_FACTOR_CRMPF": pl.Float64,
        }
    )
    # Drop deprecated/unused columns
    .drop("RUNNO")
    # Deduplicate
    # We want one row per ['BIDTYPE', 'GENCONID', 'INTERVENTION', 'REGIONID', 'RUNNO', 'SETTLEMENTDATE']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "BIDTYPE",
            "GENCONID",
            "INTERVENTION",
            "REGIONID",
            "RUNNO",
            "SETTLEMENTDATE",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_DISPATCH_FCAS_REQ_FILE01_202505010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SETTLEMENTDATE	RUNNO	INTERVENTION	GENCONID	REGIONID	BIDTYPE	GENCONEFFECTIVEDATE	GENCONVERSIONNO	MARGINALVALUE	LASTCHANGED	BASE_COST	ADJUSTED_COST	ESTIMATED_CMPF	ESTIMATED_CRMPF	RECOVERY_FACTOR_CMPF	RECOVERY_FACTOR_CRMPF
2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	NSW1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	QLD1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	SA1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	TAS1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	VIC1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	NSW1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	QLD1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	SA1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	TAS1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	VIC1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
2025/05/01 00:05:00	1	0	D_T+NIL_BB_TG_R1	TAS1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
...

C	SETP.WORLD	DVD_DISPATCH_FCAS_REQ	AEMO	PUBLIC	2025/06/10	12:20:49	001749522049574	MONTHLY_ARCHIVE	001749522049574
I	DISPATCH	FCAS_REQ	2	SETTLEMENTDATE	RUNNO	INTERVENTION	GENCONID	REGIONID	BIDTYPE	GENCONEFFECTIVEDATE	GENCONVERSIONNO	MARGINALVALUE	LASTCHANGED	BASE_COST	ADJUSTED_COST	ESTIMATED_CMPF	ESTIMATED_CRMPF	RECOVERY_FACTOR_CMPF	RECOVERY_FACTOR_CRMPF
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	NSW1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	QLD1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	SA1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	TAS1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+BIP_ML2_L1	VIC1	LOWER1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	NSW1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	QLD1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	SA1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	TAS1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_I+NIL_MG2_R1	VIC1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
D	DISPATCH	FCAS_REQ	2	2025/05/01 00:05:00	1	0	D_T+NIL_BB_TG_R1	TAS1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/01 00:00:03	0	0	0	0	0	0
...
C	END OF REPORT	1003

SETTLEMENTDATE,RUNNO,INTERVENTION,GENCONID,REGIONID,BIDTYPE,GENCONEFFECTIVEDATE,GENCONVERSIONNO,MARGINALVALUE,LASTCHANGED,BASE_COST,ADJUSTED_COST,ESTIMATED_CMPF,ESTIMATED_CRMPF,RECOVERY_FACTOR_CMPF,RECOVERY_FACTOR_CRMPF
"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,NSW1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,QLD1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,SA1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,TAS1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,VIC1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,NSW1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,QLD1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,SA1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,TAS1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,VIC1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
"2025/05/01 00:05:00",1,0,D_T+NIL_BB_TG_R1,TAS1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
...

Raw Text with Metadata

C,SETP.WORLD,DVD_DISPATCH_FCAS_REQ,AEMO,PUBLIC,2025/06/10,12:20:49,001749522049574,MONTHLY_ARCHIVE,001749522049574
I,DISPATCH,FCAS_REQ,2,SETTLEMENTDATE,RUNNO,INTERVENTION,GENCONID,REGIONID,BIDTYPE,GENCONEFFECTIVEDATE,GENCONVERSIONNO,MARGINALVALUE,LASTCHANGED,BASE_COST,ADJUSTED_COST,ESTIMATED_CMPF,ESTIMATED_CRMPF,RECOVERY_FACTOR_CMPF,RECOVERY_FACTOR_CRMPF
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,NSW1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,QLD1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,SA1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,TAS1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+BIP_ML2_L1,VIC1,LOWER1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,NSW1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,QLD1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,SA1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,TAS1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_I+NIL_MG2_R1,VIC1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
D,DISPATCH,FCAS_REQ,2,"2025/05/01 00:05:00",1,0,D_T+NIL_BB_TG_R1,TAS1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/01 00:00:03",0,0,0,0,0,0
...
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 5 of 2025.

Warning

There are some months with no files.

Data Size

Each year of data is approximately 283 MB when zipped, 3 GB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

BIDTYPE
GENCONID
INTERVENTION
REGIONID
RUNNO
SETTLEMENTDATE

PDR Loader configuration is:

Report Name	Report Subtype	Version	Undisclosed
DISPATCH	FCAS_REQ	2	⚠️

Warning

Some of these file mappings are not in the published PDR Loader configuration file, even though files for this table exist with those metadata values. Mappings marked with ⚠️ have been added by me after manually inspecting those files.

This means that the CSV files start with metadata columns:

I,DISPATCH,FCAS_REQ,2,...
D,DISPATCH,FCAS_REQ,2,...

Indexes

LASTCHANGED

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: HISTORICAL TABLES