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FPP_CONSTRAINT_FREQ_MEASURE

This report delivers the weighted 4 second frequency measure data for each constraint

Column Schema

CONSTRAINTID

Constraint ID (binding constraint ID from FCAS data used in FPP calculations)

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

This column is mandatory, and a primary key.

Examples:

  • F_T+LREG_0050
  • F_T+RREG_0050
  • F_TASCAP_LREG_0210
  • F_TASCAP_RREG_0220

INTERVAL_DATETIME

Date and time of the trading interval (DD/MM/YYYY HH24:MI:SS) fixed to the UTC+10 time zone (NEM time)

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:05:00

MEASUREMENT_DATETIME

Date and time of the SCADA data (DD/MM/YYYY HH24:MI:SS) fixed to the UTC+10 time zone (NEM time)

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:00:04

VERSIONNO

Version (FPP run number from the FPP database)

SQL Type: NUMBER(5) Polars Type: pl.UInt32

This column is mandatory, and a primary key.

Example: 1

BIDTYPE

Bid type (the bid type saved in relation to constraint ID from FCAS data used in FPP calculations)

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 not mandatory.

CORRELATION_FLAG

Flag to indicate the result of the Frequency Measure correlation check between regions in the same constraint. Supported values are: 0 = Frequency measures in this constraint are not correlated (e.g. system separation between two regions) 1 = Frequency measures in this constraint are correlated

SQL Type: NUMBER(5) Polars Type: pl.Boolean

This column is not mandatory.

Example: 0

FM_LOWER_HZ

Calculated 4 second Frequency Measure in Hz for that constraint from the FPP database. Frequency Measure data is split across these two raise and lower columns in the following ways: >0 = Allocated to the FM_RAISE_HZ column <0 = Allocated to the FM_LOWER_HZ column 0 = To fill any gaps where the alternative column is not applicable (or no deviation from 50 Hz)

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

This column is not mandatory.

Examples: -0.00005132, 0, -0.02822295

FM_RAISE_HZ

Calculated 4 second Frequency Measure in Hz for that constraint from the FPP database. Frequency Measure data is split across these two raise and lower columns in the following ways: >0 = Allocated to the FM_RAISE_HZ column <0 = Allocated to the FM_LOWER_HZ column 0 = To fill any gaps where the alternative column is not applicable (or no deviation from 50 Hz)

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

This column is not mandatory.

Examples: 0.00000727, 0, 0.04382655

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 00:10:20

USED_IN_RCR_FLAG

Flag to indicate the result of the Frequency Measure alignment check between Mainland and Tasmania for global constraints. Supported values are: 0 = Not used in RCR calculation as the signs for the frequency measures between Mainland and Tasmania do not align 1 = Used in the RCR calculation as the signs for the frequency measures between Mainland and Tasmania do align in the case of global constraints. For non-global constraints this flag is set to 1

SQL Type: NUMBER(5) Polars Type: pl.Boolean

This column is not mandatory.

Example: 1

New Data Timing

At the completion of an FPP calculation run for a closed trading interval (i.e. every 5 minutes): At the completion of an FPP calculation run for a closed trading interval (i.e. every 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"

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("INTERVAL_DATETIME", "MEASUREMENT_DATETIME", "LASTCHANGED").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"CORRELATION_FLAG": pl.UInt8, "USED_IN_RCR_FLAG": pl.UInt8})
    .cast(
        {
            "CONSTRAINTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt32
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "CORRELATION_FLAG": pl.Boolean,
            "FM_LOWER_HZ": pl.Float64,
            "FM_RAISE_HZ": pl.Float64,
            "USED_IN_RCR_FLAG": pl.Boolean,
        }
    )
    # Deduplicate
    # We want one row per ['CONSTRAINTID', 'INTERVAL_DATETIME', 'MEASUREMENT_DATETIME', 'VERSIONNO']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(
        subset=[
            "CONSTRAINTID",
            "INTERVAL_DATETIME",
            "MEASUREMENT_DATETIME",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_FPP_CONSTRAINT_FREQ_MEASURE_FILE01_202609010000.zip

INTERVAL_DATETIMEMEASUREMENT_DATETIMECONSTRAINTIDVERSIONNOBIDTYPEFM_RAISE_HZFM_LOWER_HZUSED_IN_RCR_FLAGCORRELATION_FLAGLASTCHANGED
2026/09/01 00:05:002026/09/01 00:00:04F_T+LREG_00501LOWERREG0-0.01312834102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:04F_T+RREG_00501RAISEREG0-0.01312834102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:04F_TASCAP_LREG_02101LOWERREG0-0.00405092102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:04F_TASCAP_RREG_02201RAISEREG0-0.00405092102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:08F_T+LREG_00501LOWERREG0.001789070102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:08F_T+RREG_00501RAISEREG0.001789070102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:08F_TASCAP_LREG_02101LOWERREG0.001228550102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:08F_TASCAP_RREG_02201RAISEREG0.001228550102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:12F_T+LREG_00501LOWERREG0.008280390102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:12F_T+RREG_00501RAISEREG0.008280390102026/09/01 00:10:20
2026/09/01 00:05:002026/09/01 00:00:12F_TASCAP_LREG_02101LOWERREG0.007439570102026/09/01 00:10:20
...

CSETP.WORLDDVD_FPP_CONSTRAINT_FREQ_MEASUREAEMOPUBLIC2026/10/0917:50:52001791532252834MONTHLY_ARCHIVE001791532252834
IFPPCONSTRAINT_FREQ_MEASURE1INTERVAL_DATETIMEMEASUREMENT_DATETIMECONSTRAINTIDVERSIONNOBIDTYPEFM_RAISE_HZFM_LOWER_HZUSED_IN_RCR_FLAGCORRELATION_FLAGLASTCHANGED
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:04F_T+LREG_00501LOWERREG0-0.01312834102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:04F_T+RREG_00501RAISEREG0-0.01312834102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:04F_TASCAP_LREG_02101LOWERREG0-0.00405092102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:04F_TASCAP_RREG_02201RAISEREG0-0.00405092102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:08F_T+LREG_00501LOWERREG0.001789070102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:08F_T+RREG_00501RAISEREG0.001789070102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:08F_TASCAP_LREG_02101LOWERREG0.001228550102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:08F_TASCAP_RREG_02201RAISEREG0.001228550102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:12F_T+LREG_00501LOWERREG0.008280390102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:12F_T+RREG_00501RAISEREG0.008280390102026/09/01 00:10:20
DFPPCONSTRAINT_FREQ_MEASURE12026/09/01 00:05:002026/09/01 00:00:12F_TASCAP_LREG_02101LOWERREG0.007439570102026/09/01 00:10:20
...
CEND OF REPORT1003

INTERVAL_DATETIME,MEASUREMENT_DATETIME,CONSTRAINTID,VERSIONNO,BIDTYPE,FM_RAISE_HZ,FM_LOWER_HZ,USED_IN_RCR_FLAG,CORRELATION_FLAG,LASTCHANGED
"2026/09/01 00:05:00","2026/09/01 00:00:04",F_T+LREG_0050,1,LOWERREG,0,-0.01312834,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:04",F_T+RREG_0050,1,RAISEREG,0,-0.01312834,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:04",F_TASCAP_LREG_0210,1,LOWERREG,0,-0.00405092,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:04",F_TASCAP_RREG_0220,1,RAISEREG,0,-0.00405092,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:08",F_T+LREG_0050,1,LOWERREG,0.00178907,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:08",F_T+RREG_0050,1,RAISEREG,0.00178907,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:08",F_TASCAP_LREG_0210,1,LOWERREG,0.00122855,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:08",F_TASCAP_RREG_0220,1,RAISEREG,0.00122855,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:12",F_T+LREG_0050,1,LOWERREG,0.00828039,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:12",F_T+RREG_0050,1,RAISEREG,0.00828039,0,1,0,"2026/09/01 00:10:20"
"2026/09/01 00:05:00","2026/09/01 00:00:12",F_TASCAP_LREG_0210,1,LOWERREG,0.00743957,0,1,0,"2026/09/01 00:10:20"
...

C,SETP.WORLD,DVD_FPP_CONSTRAINT_FREQ_MEASURE,AEMO,PUBLIC,2026/10/09,17:50:52,001791532252834,MONTHLY_ARCHIVE,001791532252834
I,FPP,CONSTRAINT_FREQ_MEASURE,1,INTERVAL_DATETIME,MEASUREMENT_DATETIME,CONSTRAINTID,VERSIONNO,BIDTYPE,FM_RAISE_HZ,FM_LOWER_HZ,USED_IN_RCR_FLAG,CORRELATION_FLAG,LASTCHANGED
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:04",F_T+LREG_0050,1,LOWERREG,0,-0.01312834,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:04",F_T+RREG_0050,1,RAISEREG,0,-0.01312834,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:04",F_TASCAP_LREG_0210,1,LOWERREG,0,-0.00405092,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:04",F_TASCAP_RREG_0220,1,RAISEREG,0,-0.00405092,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:08",F_T+LREG_0050,1,LOWERREG,0.00178907,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:08",F_T+RREG_0050,1,RAISEREG,0.00178907,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:08",F_TASCAP_LREG_0210,1,LOWERREG,0.00122855,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:08",F_TASCAP_RREG_0220,1,RAISEREG,0.00122855,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:12",F_T+LREG_0050,1,LOWERREG,0.00828039,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:12",F_T+RREG_0050,1,RAISEREG,0.00828039,0,1,0,"2026/09/01 00:10:20"
D,FPP,CONSTRAINT_FREQ_MEASURE,1,"2026/09/01 00:05:00","2026/09/01 00:00:12",F_TASCAP_LREG_0210,1,LOWERREG,0.00743957,0,1,0,"2026/09/01 00:10:20"
...
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).

Tip

There are multiple files per month, because this is such a large table.

The earliest available data is month 12 of 2024. The most recent available data is month 9 of 2026.

Every month in between has at least one file.

Data Size

Each year of data is approximately 212 MB when zipped, 2 GB 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
FPP CONSTRAINT_FREQ_MEASURE 1

This means that the CSV files start with metadata columns:

I,FPP,CONSTRAINT_FREQ_MEASURE,1,...
D,FPP,CONSTRAINT_FREQ_MEASURE,1,...

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: FPP