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PDPASA_CASESOLUTION

The top-level table identifying a PDPASA case, reporting options applied in the case and summary results

PDPASA_CASESOLUTION is public data.

Source

PDPASA_CASESOLUTION is updated each PDPASA run (i.e. half-hourly).

Volume

Rows per day: 48

Mb per month: \<1

Column Schema

RUN_DATETIME

Case identifier by the time the case was run

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:30:00

CAPACITYOBJFUNCTION

Objective Function from the Capacity Adequacy run

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 226422.693, 958319.955

CAPACITYOPTION

Not populated as of 2005 End of Year Release; was the Probability of Exceedance (POE) demand forecast used for capacity adequacy (LRC) assessment. 0 if no assessment, 1 for 10% POE, 2 for 50% POE, 3 for 90% POE.

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

INTERCONNECTORFLOWPENALTY

The penalty for non-zero interconnector flow

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 4.64

LASTCHANGED

Date and time the record was created or modified

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/09/01 00:04:51

LORCAPACITYOPTION

Generation Availability to be used in LOR run (either PASA or MARKET)

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Example: Market

LORCONDITION

Lack of Reserve Condition (LOR) flag for the case indicates the most severe condition in the case (3 = LOR3, 2 = LOR2, 1 = LOR1, 0 = No LOR)

SQL Type: NUMBER(1,0) Polars Type: pl.UInt8

This column is not mandatory.

Examples: 0, 1, 2

LORDEMANDOPTION

Specifies the Probability of Exceedence (POE) demand forecast for LOR assessment (0 if no assessment, 10 for 10%, 50 for 50%, 90 for 90%)

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 50

LORUIGFOPTION

UIGF POE forecast availability used for this option

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

This column is not mandatory.

Example: 50

MAXSPARECAPACITYOPTION

Not populated as of 2005 End of Year Release; was the Probability of Exceedance (POE) demand forecast used for assessment of Maximum Spare Capacity. 0 if no assessment, 1 for 10% POE, 2 for 50% POE, 3 for 90% POE

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

MAXSURPLUSRESERVEOPTION

Not populated as of 2005 End of Year Release; was the Probability of Exceedance (POE) demand forecast used for assessment of Maximum surplus Reserve. 0 if no assessment, 1 for 10% POE, 2 for 50% POE, 3 for 90% POE

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

OUTAGELRCCAPACITYOPTION

Generation Availability to be used in Outage LRC run (either PASA or MARKET)

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Example: Market

OUTAGELRCDEMANDOPTION

Specifies the Probability of Exceedence (POE) demand forecast for outage LRC assessment (0 if no assessment, 10 for 10%, 50 for 50%, 90 for 90%)

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 10

OUTAGELRCUIGFOPTION

UIGF POE forecast availability used for this option

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

This column is not mandatory.

Example: 90

PASAVERSION

Version of the PASA solver used to solve this case

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Example: 7.4.4.0

RELIABILITYLRCCAPACITYOPTION

Generation Availability to be used in Reliability LRC run (either PASA or MARKET)

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Example: PASA

RELIABILITYLRCDEMANDOPTION

Specifies the Probability of Exceedence (POE) demand forecast for Reliability LRC assessment (0 if no assessment, 10 for 10%, 50 for 50%, 90 for 90%)

SQL Type: NUMBER(12,3) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

RELIABILITYLRCUIGFOPTION

UIGF POE forecast availability used for this option

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

This column is not mandatory.

Example: 90

RESERVECONDITION

Low Reserve Condition (LRC) flag for the case (1 - LRC in the case, 0 - No LRCs in the case) for capacity run

SQL Type: NUMBER(1,0) Polars Type: pl.Boolean

This column is not mandatory.

Examples: 0, 1

New Data Timing

After each PDASA run (half-hourly)

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("RUN_DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"RESERVECONDITION": pl.UInt8})
    .cast(
        {
            "CAPACITYOBJFUNCTION": pl.Float64,
            "CAPACITYOPTION": pl.Float64,
            "INTERCONNECTORFLOWPENALTY": pl.Float64,
            "LORCAPACITYOPTION": str,
            "LORCONDITION": int,  # or pl.UInt8
            "LORDEMANDOPTION": pl.Float64,
            "LORUIGFOPTION": int,  # or pl.Int16
            "MAXSPARECAPACITYOPTION": pl.Float64,
            "MAXSURPLUSRESERVEOPTION": pl.Float64,
            "OUTAGELRCCAPACITYOPTION": str,
            "OUTAGELRCDEMANDOPTION": pl.Float64,
            "OUTAGELRCUIGFOPTION": int,  # or pl.Int16
            "PASAVERSION": str,
            "RELIABILITYLRCCAPACITYOPTION": str,
            "RELIABILITYLRCDEMANDOPTION": pl.Float64,
            "RELIABILITYLRCUIGFOPTION": int,  # or pl.Int16
            "RESERVECONDITION": pl.Boolean,
        }
    )
    # Deduplicate
    # We want one row per ['RUN_DATETIME']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["RUN_DATETIME"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_PDPASA_CASESOLUTION_FILE01_202609010000.zip

RUN_DATETIMEPASAVERSIONRESERVECONDITIONLORCONDITIONCAPACITYOBJFUNCTIONCAPACITYOPTIONMAXSURPLUSRESERVEOPTIONMAXSPARECAPACITYOPTIONINTERCONNECTORFLOWPENALTYLASTCHANGEDRELIABILITYLRCDEMANDOPTIONOUTAGELRCDEMANDOPTIONLORDEMANDOPTIONRELIABILITYLRCCAPACITYOPTIONOUTAGELRCCAPACITYOPTIONLORCAPACITYOPTIONLORUIGFOPTIONRELIABILITYLRCUIGFOPTIONOUTAGELRCUIGFOPTION
2026/09/01 00:30:007.4.4.000630878.4620004.642026/09/01 00:04:5101050PASAMarketMarket509090
2026/09/01 01:00:007.4.4.000621151.4360004.642026/09/01 00:34:0101050PASAMarketMarket509090
2026/09/01 01:30:007.4.4.000610791.6910004.642026/09/01 01:04:2101050PASAMarketMarket509090
2026/09/01 06:30:007.4.4.000495173.8740004.642026/09/01 06:03:5301050PASAMarketMarket509090
2026/09/01 07:00:007.4.4.000486774.0170004.642026/09/01 06:33:3301050PASAMarketMarket509090
2026/09/01 07:30:007.4.4.000475238.8080004.642026/09/01 07:03:1601050PASAMarketMarket509090
2026/09/01 08:30:007.4.4.000454290.720004.642026/09/01 08:03:1901050PASAMarketMarket509090
2026/09/01 02:00:007.4.4.000603105.2170004.642026/09/01 01:34:2201050PASAMarketMarket509090
2026/09/01 03:00:007.4.4.000576322.6920004.642026/09/01 02:34:0601050PASAMarketMarket509090
2026/09/01 04:30:007.4.4.000530458.7690004.642026/09/01 04:03:4301050PASAMarketMarket509090
2026/09/01 05:00:007.4.4.000522155.3060004.642026/09/01 04:33:5301050PASAMarketMarket509090
...

CSETP.WORLDDVD_PDPASA_CASESOLUTIONAEMOPUBLIC2026/10/0916:21:30001791526890517MONTHLY_ARCHIVE001791526890517
IPDPASACASESOLUTION3RUN_DATETIMEPASAVERSIONRESERVECONDITIONLORCONDITIONCAPACITYOBJFUNCTIONCAPACITYOPTIONMAXSURPLUSRESERVEOPTIONMAXSPARECAPACITYOPTIONINTERCONNECTORFLOWPENALTYLASTCHANGEDRELIABILITYLRCDEMANDOPTIONOUTAGELRCDEMANDOPTIONLORDEMANDOPTIONRELIABILITYLRCCAPACITYOPTIONOUTAGELRCCAPACITYOPTIONLORCAPACITYOPTIONLORUIGFOPTIONRELIABILITYLRCUIGFOPTIONOUTAGELRCUIGFOPTION
DPDPASACASESOLUTION32026/09/01 00:30:007.4.4.000630878.4620004.642026/09/01 00:04:5101050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 01:00:007.4.4.000621151.4360004.642026/09/01 00:34:0101050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 01:30:007.4.4.000610791.6910004.642026/09/01 01:04:2101050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 06:30:007.4.4.000495173.8740004.642026/09/01 06:03:5301050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 07:00:007.4.4.000486774.0170004.642026/09/01 06:33:3301050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 07:30:007.4.4.000475238.8080004.642026/09/01 07:03:1601050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 08:30:007.4.4.000454290.720004.642026/09/01 08:03:1901050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 02:00:007.4.4.000603105.2170004.642026/09/01 01:34:2201050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 03:00:007.4.4.000576322.6920004.642026/09/01 02:34:0601050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 04:30:007.4.4.000530458.7690004.642026/09/01 04:03:4301050PASAMarketMarket509090
DPDPASACASESOLUTION32026/09/01 05:00:007.4.4.000522155.3060004.642026/09/01 04:33:5301050PASAMarketMarket509090
...
CEND OF REPORT1003

RUN_DATETIME,PASAVERSION,RESERVECONDITION,LORCONDITION,CAPACITYOBJFUNCTION,CAPACITYOPTION,MAXSURPLUSRESERVEOPTION,MAXSPARECAPACITYOPTION,INTERCONNECTORFLOWPENALTY,LASTCHANGED,RELIABILITYLRCDEMANDOPTION,OUTAGELRCDEMANDOPTION,LORDEMANDOPTION,RELIABILITYLRCCAPACITYOPTION,OUTAGELRCCAPACITYOPTION,LORCAPACITYOPTION,LORUIGFOPTION,RELIABILITYLRCUIGFOPTION,OUTAGELRCUIGFOPTION
"2026/09/01 00:30:00",7.4.4.0,0,0,630878.462,0,0,0,4.64,"2026/09/01 00:04:51",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 01:00:00",7.4.4.0,0,0,621151.436,0,0,0,4.64,"2026/09/01 00:34:01",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 01:30:00",7.4.4.0,0,0,610791.691,0,0,0,4.64,"2026/09/01 01:04:21",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 06:30:00",7.4.4.0,0,0,495173.874,0,0,0,4.64,"2026/09/01 06:03:53",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 07:00:00",7.4.4.0,0,0,486774.017,0,0,0,4.64,"2026/09/01 06:33:33",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 07:30:00",7.4.4.0,0,0,475238.808,0,0,0,4.64,"2026/09/01 07:03:16",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 08:30:00",7.4.4.0,0,0,454290.72,0,0,0,4.64,"2026/09/01 08:03:19",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 02:00:00",7.4.4.0,0,0,603105.217,0,0,0,4.64,"2026/09/01 01:34:22",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 03:00:00",7.4.4.0,0,0,576322.692,0,0,0,4.64,"2026/09/01 02:34:06",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 04:30:00",7.4.4.0,0,0,530458.769,0,0,0,4.64,"2026/09/01 04:03:43",0,10,50,PASA,Market,Market,50,90,90
"2026/09/01 05:00:00",7.4.4.0,0,0,522155.306,0,0,0,4.64,"2026/09/01 04:33:53",0,10,50,PASA,Market,Market,50,90,90
...

C,SETP.WORLD,DVD_PDPASA_CASESOLUTION,AEMO,PUBLIC,2026/10/09,16:21:30,001791526890517,MONTHLY_ARCHIVE,001791526890517
I,PDPASA,CASESOLUTION,3,RUN_DATETIME,PASAVERSION,RESERVECONDITION,LORCONDITION,CAPACITYOBJFUNCTION,CAPACITYOPTION,MAXSURPLUSRESERVEOPTION,MAXSPARECAPACITYOPTION,INTERCONNECTORFLOWPENALTY,LASTCHANGED,RELIABILITYLRCDEMANDOPTION,OUTAGELRCDEMANDOPTION,LORDEMANDOPTION,RELIABILITYLRCCAPACITYOPTION,OUTAGELRCCAPACITYOPTION,LORCAPACITYOPTION,LORUIGFOPTION,RELIABILITYLRCUIGFOPTION,OUTAGELRCUIGFOPTION
D,PDPASA,CASESOLUTION,3,"2026/09/01 00:30:00",7.4.4.0,0,0,630878.462,0,0,0,4.64,"2026/09/01 00:04:51",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 01:00:00",7.4.4.0,0,0,621151.436,0,0,0,4.64,"2026/09/01 00:34:01",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 01:30:00",7.4.4.0,0,0,610791.691,0,0,0,4.64,"2026/09/01 01:04:21",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 06:30:00",7.4.4.0,0,0,495173.874,0,0,0,4.64,"2026/09/01 06:03:53",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 07:00:00",7.4.4.0,0,0,486774.017,0,0,0,4.64,"2026/09/01 06:33:33",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 07:30:00",7.4.4.0,0,0,475238.808,0,0,0,4.64,"2026/09/01 07:03:16",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 08:30:00",7.4.4.0,0,0,454290.72,0,0,0,4.64,"2026/09/01 08:03:19",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 02:00:00",7.4.4.0,0,0,603105.217,0,0,0,4.64,"2026/09/01 01:34:22",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 03:00:00",7.4.4.0,0,0,576322.692,0,0,0,4.64,"2026/09/01 02:34:06",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 04:30:00",7.4.4.0,0,0,530458.769,0,0,0,4.64,"2026/09/01 04:03:43",0,10,50,PASA,Market,Market,50,90,90
D,PDPASA,CASESOLUTION,3,"2026/09/01 05:00:00",7.4.4.0,0,0,522155.306,0,0,0,4.64,"2026/09/01 04:33:53",0,10,50,PASA,Market,Market,50,90,90
...
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 269 KB when zipped, 3 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
PDPASA CASESOLUTION 3

This means that the CSV files start with metadata columns:

I,PDPASA,CASESOLUTION,3,...
D,PDPASA,CASESOLUTION,3,...

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: PDPASA