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FPP_EST_PERF_COST_RATE

This report delivers the estimated performance cost rate for each constraint for each 5 minute trading interval

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_I+GFT_TG_R5
  • F_I+LREG_0210
  • F_I+NIL_APD_TL_L5
  • F_I+NIL_MG_R5
  • F_I+RREG_0220
  • F_MAIN++APD_TL_L5
  • F_MAIN++LREG_0210
  • F_MAIN++RREG_0220
  • F_MAIN+LREG_0210
  • F_MAIN+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

VERSIONNO

The version number. In most cases this version will be the FPP run number from the FPP database, however there are some cases (like a new pricing run of the constraint FCAS processor received by the FPP system) where the version number listed here will be the financial estimate run number from the FPP database (this number is a different sequence from the FPP run number because there is no recalculation of performance or contribution, just changes to pricing / p regulation hence only the financial estimation is performed).

SQL Type: NUMBER(10) Polars Type: pl.UInt64

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.

FPP_PAYMENT_RATE

The payment rate for FPP in AUD / MWHz (the denominator used is the sum of positive performance for the constraint calculated by contribution factor calculation). This value will be either 0 (nil), or a positive value (credit) only. For details on the calculation, please see FPP procedure and supporting documentation.

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

This column is not mandatory.

Examples: 0.00045946, 0, 415.8802313

FPP_RECOVERY_RATE

The recovery rate for FPP in AUD / MWHz (the denominator used is the absolute sum of negative performance for the constraint calculated by the contribution factor calculation). This value will be either 0 (nil), or a negative value (debit) only. For details on the calculation, please see FPP procedure and supporting documentation.

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

This column is not mandatory.

Examples: 0.00045607, 0, 180.3317011

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 00:10:25

RELEVANT_REGIONS

Relevant regions (a comma separated list of the relevant regions for the constraint from FCAS data)

SQL Type: VARCHAR2(200) Polars Type: str

This column is not mandatory.

Examples:

  • NSW1,QLD1,SA1,TAS1,VIC1
  • NSW1,QLD1,SA1,VIC1
  • TAS1

UNUSED_FCAS_RATE

The rate for unused FCAS in AUD / MWHz (the denominator used is the absolute sum of negative performance for the constraint calculated by the default contribution factor calculation). This value will be either 0 (nil), or a negative value (debit) only. For details on the calculation, please see FPP procedure and supporting documentation.

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

This column is not mandatory.

Examples: 0.00000178, 0, 24.67699433

USED_FCAS_RATE

The rate for used FCAS in AUD / MWHz (the denominator used is the absolute sum of negative performance for the constraint calculated by the negative contribution factor calculation). This value will be either 0 (nil), or a negative value (debit) only. For details on the calculation, please see FPP procedure and supporting documentation.

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

This column is not mandatory.

Examples: 0.0000086, 0, 57.33851748

New Data Timing

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", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CONSTRAINTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt64
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "FPP_PAYMENT_RATE": pl.Float64,
            "FPP_RECOVERY_RATE": pl.Float64,
            "RELEVANT_REGIONS": str,
            "UNUSED_FCAS_RATE": pl.Float64,
            "USED_FCAS_RATE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONSTRAINTID', 'INTERVAL_DATETIME', 'VERSIONNO']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["CONSTRAINTID", "INTERVAL_DATETIME", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_FPP_EST_PERF_COST_RATE_FILE01_202609010000.zip

INTERVAL_DATETIMECONSTRAINTIDVERSIONNOBIDTYPERELEVANT_REGIONSFPP_PAYMENT_RATEFPP_RECOVERY_RATEUSED_FCAS_RATEUNUSED_FCAS_RATELASTCHANGED
2026/09/01 00:05:00F_T+LREG_00501LOWERREGTAS10000.423101142026/09/01 00:10:25
2026/09/01 00:05:00F_T+RREG_00501RAISEREGTAS10.282492450.385285530.12442981.551744312026/09/01 00:10:25
2026/09/01 00:05:00F_TASCAP_LREG_02101LOWERREGNSW1,QLD1,SA1,VIC10000.047982312026/09/01 00:10:25
2026/09/01 00:05:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC10.221709850.219264860.047952970.060128682026/09/01 00:10:25
2026/09/01 00:10:00F_T+LREG_00501LOWERREGTAS11.155413880.592215610.031343060.417770062026/09/01 00:14:25
2026/09/01 00:10:00F_T+RREG_00501RAISEREGTAS11.031713081.735412260.562579611.584091642026/09/01 00:14:25
2026/09/01 00:10:00F_TASCAP_LREG_02101LOWERREGNSW1,QLD1,SA1,VIC10000.080939852026/09/01 00:14:25
2026/09/01 00:10:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC10.860020780.860047590.224712570.083963362026/09/01 00:14:25
2026/09/01 00:15:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC11.619242931.600648520.388254670.192014012026/09/01 00:20:25
2026/09/01 00:15:00F_T+LREG_00501LOWERREGTAS11.261365450.838602140.068801270.414300632026/09/01 00:20:25
2026/09/01 00:15:00F_T+RREG_00501RAISEREGTAS11.322676552.538070110.558459911.624261082026/09/01 00:20:25
...

CSETP.WORLDDVD_FPP_EST_PERF_COST_RATEAEMOPUBLIC2026/10/0917:53:03001791532383778MONTHLY_ARCHIVE001791532383778
IFPPEST_PERF_COST_RATE1INTERVAL_DATETIMECONSTRAINTIDVERSIONNOBIDTYPERELEVANT_REGIONSFPP_PAYMENT_RATEFPP_RECOVERY_RATEUSED_FCAS_RATEUNUSED_FCAS_RATELASTCHANGED
DFPPEST_PERF_COST_RATE12026/09/01 00:05:00F_T+LREG_00501LOWERREGTAS10000.423101142026/09/01 00:10:25
DFPPEST_PERF_COST_RATE12026/09/01 00:05:00F_T+RREG_00501RAISEREGTAS10.282492450.385285530.12442981.551744312026/09/01 00:10:25
DFPPEST_PERF_COST_RATE12026/09/01 00:05:00F_TASCAP_LREG_02101LOWERREGNSW1,QLD1,SA1,VIC10000.047982312026/09/01 00:10:25
DFPPEST_PERF_COST_RATE12026/09/01 00:05:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC10.221709850.219264860.047952970.060128682026/09/01 00:10:25
DFPPEST_PERF_COST_RATE12026/09/01 00:10:00F_T+LREG_00501LOWERREGTAS11.155413880.592215610.031343060.417770062026/09/01 00:14:25
DFPPEST_PERF_COST_RATE12026/09/01 00:10:00F_T+RREG_00501RAISEREGTAS11.031713081.735412260.562579611.584091642026/09/01 00:14:25
DFPPEST_PERF_COST_RATE12026/09/01 00:10:00F_TASCAP_LREG_02101LOWERREGNSW1,QLD1,SA1,VIC10000.080939852026/09/01 00:14:25
DFPPEST_PERF_COST_RATE12026/09/01 00:10:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC10.860020780.860047590.224712570.083963362026/09/01 00:14:25
DFPPEST_PERF_COST_RATE12026/09/01 00:15:00F_TASCAP_RREG_02201RAISEREGNSW1,QLD1,SA1,VIC11.619242931.600648520.388254670.192014012026/09/01 00:20:25
DFPPEST_PERF_COST_RATE12026/09/01 00:15:00F_T+LREG_00501LOWERREGTAS11.261365450.838602140.068801270.414300632026/09/01 00:20:25
DFPPEST_PERF_COST_RATE12026/09/01 00:15:00F_T+RREG_00501RAISEREGTAS11.322676552.538070110.558459911.624261082026/09/01 00:20:25
...
CEND OF REPORT1003

INTERVAL_DATETIME,CONSTRAINTID,VERSIONNO,BIDTYPE,RELEVANT_REGIONS,FPP_PAYMENT_RATE,FPP_RECOVERY_RATE,USED_FCAS_RATE,UNUSED_FCAS_RATE,LASTCHANGED
"2026/09/01 00:05:00",F_T+LREG_0050,1,LOWERREG,TAS1,0,0,0,0.42310114,"2026/09/01 00:10:25"
"2026/09/01 00:05:00",F_T+RREG_0050,1,RAISEREG,TAS1,0.28249245,0.38528553,0.1244298,1.55174431,"2026/09/01 00:10:25"
"2026/09/01 00:05:00",F_TASCAP_LREG_0210,1,LOWERREG,"NSW1,QLD1,SA1,VIC1",0,0,0,0.04798231,"2026/09/01 00:10:25"
"2026/09/01 00:05:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",0.22170985,0.21926486,0.04795297,0.06012868,"2026/09/01 00:10:25"
"2026/09/01 00:10:00",F_T+LREG_0050,1,LOWERREG,TAS1,1.15541388,0.59221561,0.03134306,0.41777006,"2026/09/01 00:14:25"
"2026/09/01 00:10:00",F_T+RREG_0050,1,RAISEREG,TAS1,1.03171308,1.73541226,0.56257961,1.58409164,"2026/09/01 00:14:25"
"2026/09/01 00:10:00",F_TASCAP_LREG_0210,1,LOWERREG,"NSW1,QLD1,SA1,VIC1",0,0,0,0.08093985,"2026/09/01 00:14:25"
"2026/09/01 00:10:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",0.86002078,0.86004759,0.22471257,0.08396336,"2026/09/01 00:14:25"
"2026/09/01 00:15:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",1.61924293,1.60064852,0.38825467,0.19201401,"2026/09/01 00:20:25"
"2026/09/01 00:15:00",F_T+LREG_0050,1,LOWERREG,TAS1,1.26136545,0.83860214,0.06880127,0.41430063,"2026/09/01 00:20:25"
"2026/09/01 00:15:00",F_T+RREG_0050,1,RAISEREG,TAS1,1.32267655,2.53807011,0.55845991,1.62426108,"2026/09/01 00:20:25"
...

C,SETP.WORLD,DVD_FPP_EST_PERF_COST_RATE,AEMO,PUBLIC,2026/10/09,17:53:03,001791532383778,MONTHLY_ARCHIVE,001791532383778
I,FPP,EST_PERF_COST_RATE,1,INTERVAL_DATETIME,CONSTRAINTID,VERSIONNO,BIDTYPE,RELEVANT_REGIONS,FPP_PAYMENT_RATE,FPP_RECOVERY_RATE,USED_FCAS_RATE,UNUSED_FCAS_RATE,LASTCHANGED
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:05:00",F_T+LREG_0050,1,LOWERREG,TAS1,0,0,0,0.42310114,"2026/09/01 00:10:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:05:00",F_T+RREG_0050,1,RAISEREG,TAS1,0.28249245,0.38528553,0.1244298,1.55174431,"2026/09/01 00:10:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:05:00",F_TASCAP_LREG_0210,1,LOWERREG,"NSW1,QLD1,SA1,VIC1",0,0,0,0.04798231,"2026/09/01 00:10:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:05:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",0.22170985,0.21926486,0.04795297,0.06012868,"2026/09/01 00:10:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:10:00",F_T+LREG_0050,1,LOWERREG,TAS1,1.15541388,0.59221561,0.03134306,0.41777006,"2026/09/01 00:14:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:10:00",F_T+RREG_0050,1,RAISEREG,TAS1,1.03171308,1.73541226,0.56257961,1.58409164,"2026/09/01 00:14:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:10:00",F_TASCAP_LREG_0210,1,LOWERREG,"NSW1,QLD1,SA1,VIC1",0,0,0,0.08093985,"2026/09/01 00:14:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:10:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",0.86002078,0.86004759,0.22471257,0.08396336,"2026/09/01 00:14:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:15:00",F_TASCAP_RREG_0220,1,RAISEREG,"NSW1,QLD1,SA1,VIC1",1.61924293,1.60064852,0.38825467,0.19201401,"2026/09/01 00:20:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:15:00",F_T+LREG_0050,1,LOWERREG,TAS1,1.26136545,0.83860214,0.06880127,0.41430063,"2026/09/01 00:20:25"
D,FPP,EST_PERF_COST_RATE,1,"2026/09/01 00:15:00",F_T+RREG_0050,1,RAISEREG,TAS1,1.32267655,2.53807011,0.55845991,1.62426108,"2026/09/01 00:20:25"
...
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 12 of 2024. 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 10 MB when zipped, 98 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
FPP EST_PERF_COST_RATE 1

This means that the CSV files start with metadata columns:

I,FPP,EST_PERF_COST_RATE,1,...
D,FPP,EST_PERF_COST_RATE,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