NETWORK_STATICRATING

NETWORK_STATICRATING lists the static rating values that will apply for a Rating Application ID. This data does not provide information for when the rating actually applies in the NEM. This is dependent on the Rating Application definition. For information on the Rating Applications please refer to the information published on the AEMO website under the topic "Transmission Equipment Ratings". The Rating Applications are referred to as Alternate Value Application Ratings. Ratings that normally use dynamic values will also have static rating values defined. These are used as a fallback if the dynamic rating fails.

Column Schema

APPLICATIONID

The applicationid which defines the application timeframes of this rating.

SQL Type: VARCHAR(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

BENDIGO_10
BENDIGO_10D
BENDIGO_15
BENDIGO_15D
BENDIGO_20
BENDIGO_20D
BENDIGO_25
BENDIGO_25D
BENDIGO_30
BENDIGO_30D

EQUIPMENTID

A unique identifier for this type of equipment at this substation

SQL Type: VARCHAR(30) Polars Type: str

This column is mandatory, and a primary key.

Examples:

01
3H
965
6H
ATS_BLTS_220
BATS_BETS_220
BATS_MLTS1_220
BATS_MLTS2_220
BATS_TGTS_220
BETS_KGTS_220

EQUIPMENTTYPE

The type of equipment. Valid values are: LINE = Line TRANS = Transformer CB = Circuit breaker ISOL = Isolator CAP = Capacitor REAC = Reactor UNIT = Unit

SQL Type: VARCHAR(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

LINE
TRANS
TX

RATINGLEVEL

The rating level of the value used, one of: NORM = Continuous rating value. Applied under pre-contingent conditions. EMER = Continuous rating value. Applied under pre-contingent conditions LDSH = Load Shedding

SQL Type: VARCHAR(10) Polars Type: str

This column is mandatory, and a primary key.

Examples:

LDSH
NORM

SUBSTATIONID

The substation the equipment is located at

SQL Type: VARCHAR(30) Polars Type: str

This column is mandatory, and a primary key.

Examples:

ARMIDALE
BATS
BAYSWATR
BETS
BLTS
BTS
BURNIE
CANBERRA
CATAGNYA
CBTS

VALIDFROM

The date that this record is applies from (inclusive)

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

This column is mandatory, and a primary key.

Example: 2011/02/18 08:30:00

LASTCHANGED

The time that this record was last changed.

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2011/02/18 08:30:00

RATINGVALUE

The rating value in MVA that applies. This may be positive or negative depending on which side of the nominal MW flow direction the rating value applies. Flow into a transmission device is positive, flow out of the device is negative.

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

This column is not mandatory.

Examples: 0.01, 105, 3862.5, 2598

VALIDTO

The date that this record applies until (exclusive)

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

This column is not mandatory.

Example: 2013/05/23 11:10:00

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("VALIDFROM", "LASTCHANGED", "VALIDTO").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "APPLICATIONID": str,
            "EQUIPMENTID": str,
            "EQUIPMENTTYPE": pl.Categorical,
            "RATINGLEVEL": str,
            "SUBSTATIONID": str,
            "RATINGVALUE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['APPLICATIONID', 'EQUIPMENTID', 'EQUIPMENTTYPE', 'RATINGLEVEL', 'SUBSTATIONID', 'VALIDFROM']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "APPLICATIONID",
            "EQUIPMENTID",
            "EQUIPMENTTYPE",
            "RATINGLEVEL",
            "SUBSTATIONID",
            "VALIDFROM",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_NETWORK_STATICRATING_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SUBSTATIONID	EQUIPMENTTYPE	EQUIPMENTID	RATINGLEVEL	APPLICATIONID	VALIDFROM	VALIDTO	RATINGVALUE	LASTCHANGED
N_NRFOLK	LINE	TA_NN1	LDSH	TAS_SOUTH_35	2011/04/06 10:05:00	9999/12/31 00:00:00	74.3	2011/04/06 10:05:00
N_NRFOLK	LINE	TA_NN1	LDSH	TAS_SOUTH_40	2011/04/06 10:05:00	9999/12/31 00:00:00	71.4	2011/04/06 10:05:00
N_NRFOLK	LINE	TA_NN1	LDSH	TAS_SOUTH_5	2011/04/06 10:05:00	9999/12/31 00:00:00	93.4	2011/04/06 10:05:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_0	2011/04/06 10:05:00	2014/08/12 21:15:00	96.9	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_10	2011/04/06 10:05:00	2014/08/12 21:15:00	89.7	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_15	2011/04/06 10:05:00	2014/08/12 21:15:00	85.9	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_20	2011/04/06 10:05:00	2014/08/12 21:15:00	80.6	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_25	2011/04/06 10:05:00	2014/08/12 21:15:00	74.6	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_30	2011/04/06 10:05:00	2014/08/12 21:15:00	74.8	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_35	2011/04/06 10:05:00	2014/08/12 21:15:00	74.3	2014/08/12 21:15:00
N_NRFOLK	LINE	TA_NN2	LDSH	TAS_SOUTH_40	2011/04/06 10:05:00	2014/08/12 21:15:00	71.4	2014/08/12 21:15:00
...

C

SETP.WORLD

DVD_NETWORK_STATICRATING

AEMO

PUBLIC

2026/10/09

15:57:07

001791525427559

MONTHLY_ARCHIVE

001791525427559

I

NETWORK

STATICRATING

1

SUBSTATIONID

EQUIPMENTTYPE

EQUIPMENTID

RATINGLEVEL

APPLICATIONID

VALIDFROM

VALIDTO

RATINGVALUE

LASTCHANGED

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN1

LDSH

TAS_SOUTH_35

2011/04/06 10:05:00

9999/12/31 00:00:00

74.3

2011/04/06 10:05:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN1

LDSH

TAS_SOUTH_40

2011/04/06 10:05:00

9999/12/31 00:00:00

71.4

2011/04/06 10:05:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN1

LDSH

TAS_SOUTH_5

2011/04/06 10:05:00

9999/12/31 00:00:00

93.4

2011/04/06 10:05:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_0

2011/04/06 10:05:00

2014/08/12 21:15:00

96.9

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_10

2011/04/06 10:05:00

2014/08/12 21:15:00

89.7

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_15

2011/04/06 10:05:00

2014/08/12 21:15:00

85.9

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_20

2011/04/06 10:05:00

2014/08/12 21:15:00

80.6

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_25

2011/04/06 10:05:00

2014/08/12 21:15:00

74.6

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_30

2011/04/06 10:05:00

2014/08/12 21:15:00

74.8

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_35

2011/04/06 10:05:00

2014/08/12 21:15:00

74.3

2014/08/12 21:15:00

D

NETWORK

STATICRATING

1

N_NRFOLK

LINE

TA_NN2

LDSH

TAS_SOUTH_40

2011/04/06 10:05:00

2014/08/12 21:15:00

71.4

2014/08/12 21:15:00

...

C

END OF REPORT

1003

SUBSTATIONID,EQUIPMENTTYPE,EQUIPMENTID,RATINGLEVEL,APPLICATIONID,VALIDFROM,VALIDTO,RATINGVALUE,LASTCHANGED
N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_35,"2011/04/06 10:05:00","9999/12/31 00:00:00",74.3,"2011/04/06 10:05:00"
N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_40,"2011/04/06 10:05:00","9999/12/31 00:00:00",71.4,"2011/04/06 10:05:00"
N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_5,"2011/04/06 10:05:00","9999/12/31 00:00:00",93.4,"2011/04/06 10:05:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_0,"2011/04/06 10:05:00","2014/08/12 21:15:00",96.9,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_10,"2011/04/06 10:05:00","2014/08/12 21:15:00",89.7,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_15,"2011/04/06 10:05:00","2014/08/12 21:15:00",85.9,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_20,"2011/04/06 10:05:00","2014/08/12 21:15:00",80.6,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_25,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.6,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_30,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.8,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_35,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.3,"2014/08/12 21:15:00"
N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_40,"2011/04/06 10:05:00","2014/08/12 21:15:00",71.4,"2014/08/12 21:15:00"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_NETWORK_STATICRATING,AEMO,PUBLIC,2026/10/09,15:57:07,001791525427559,MONTHLY_ARCHIVE,001791525427559
I,NETWORK,STATICRATING,1,SUBSTATIONID,EQUIPMENTTYPE,EQUIPMENTID,RATINGLEVEL,APPLICATIONID,VALIDFROM,VALIDTO,RATINGVALUE,LASTCHANGED
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_35,"2011/04/06 10:05:00","9999/12/31 00:00:00",74.3,"2011/04/06 10:05:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_40,"2011/04/06 10:05:00","9999/12/31 00:00:00",71.4,"2011/04/06 10:05:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN1,LDSH,TAS_SOUTH_5,"2011/04/06 10:05:00","9999/12/31 00:00:00",93.4,"2011/04/06 10:05:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_0,"2011/04/06 10:05:00","2014/08/12 21:15:00",96.9,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_10,"2011/04/06 10:05:00","2014/08/12 21:15:00",89.7,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_15,"2011/04/06 10:05:00","2014/08/12 21:15:00",85.9,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_20,"2011/04/06 10:05:00","2014/08/12 21:15:00",80.6,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_25,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.6,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_30,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.8,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_35,"2011/04/06 10:05:00","2014/08/12 21:15:00",74.3,"2014/08/12 21:15:00"
D,NETWORK,STATICRATING,1,N_NRFOLK,LINE,TA_NN2,LDSH,TAS_SOUTH_40,"2011/04/06 10:05:00","2014/08/12 21:15:00",71.4,"2014/08/12 21:15:00"
...
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 8 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 20 MB when zipped, 200 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

APPLICATIONID
EQUIPMENTID
EQUIPMENTTYPE
RATINGLEVEL
SUBSTATIONID
VALIDFROM

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name	Report Subtype	Version
NETWORK	STATICRATING	1

This means that the CSV files start with metadata columns:

I,NETWORK,STATICRATING,1,...
D,NETWORK,STATICRATING,1,...

ROW_FILTER_TYPE is LASTCHANGED

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: NETWORK