MNSP_PARTICIPANT

MNSP_PARTICIPANT registers MNSP ownership.

MNSP_PARTICIPANT data is public, so is available to all participants.

Source

MNSP_PARTICIPANT updates infrequently, typically annually.

Volume

Number of MNSPs.

Column Schema

EFFECTIVEDATE

Calendar date when Interconnector ownership becomes effective

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

This column is mandatory, and a primary key.

Example: 2000/04/06 00:00:00

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

INTERCONNECTORID

Interconnector Identifier

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

N-Q-MNSP1
T-V-MNSP1
V-S-MNSP1

PARTICIPANTID

Participant Identifier

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

BASSLINK
DIRLINKP
MRYLINK1

VERSIONNO

Version of data for other key data - a higher version for same key data takes precedence

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Examples: 1, 3

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: 2000/04/06 10:04:46

New Data Timing

Infrequently, typically annually

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("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "INTERCONNECTORID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'INTERCONNECTORID', 'PARTICIPANTID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["EFFECTIVEDATE", "INTERCONNECTORID", "PARTICIPANTID", "VERSIONNO"],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MNSP_PARTICIPANT_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

INTERCONNECTORID	EFFECTIVEDATE	VERSIONNO	PARTICIPANTID	LASTCHANGED
N-Q-MNSP1	2000/04/06 00:00:00	1	DIRLINKP	2000/04/06 10:04:46
V-S-MNSP1	2002/08/06 00:00:00	1	MRYLINK1	2002/08/06 14:55:48
V-S-MNSP1	2002/08/15 00:00:00	1	MRYLINK1	2002/08/15 10:26:30
T-V-MNSP1	2005/11/11 00:00:00	1	BASSLINK	2005/11/11 09:20:50
T-V-MNSP1	2005/11/11 00:00:00	3	BASSLINK	2005/11/14 08:51:16

C	SETP.WORLD	DVD_MNSP_PARTICIPANT	AEMO	PUBLIC	2026/10/09	15:53:54	001791525234101	MONTHLY_ARCHIVE	001791525234101
I	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	INTERCONNECTORID	EFFECTIVEDATE	VERSIONNO	PARTICIPANTID	LASTCHANGED
D	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	N-Q-MNSP1	2000/04/06 00:00:00	1	DIRLINKP	2000/04/06 10:04:46
D	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	V-S-MNSP1	2002/08/06 00:00:00	1	MRYLINK1	2002/08/06 14:55:48
D	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	V-S-MNSP1	2002/08/15 00:00:00	1	MRYLINK1	2002/08/15 10:26:30
D	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	T-V-MNSP1	2005/11/11 00:00:00	1	BASSLINK	2005/11/11 09:20:50
D	PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1	T-V-MNSP1	2005/11/11 00:00:00	3	BASSLINK	2005/11/14 08:51:16
C	END OF REPORT	8

INTERCONNECTORID,EFFECTIVEDATE,VERSIONNO,PARTICIPANTID,LASTCHANGED
N-Q-MNSP1,"2000/04/06 00:00:00",1,DIRLINKP,"2000/04/06 10:04:46"
V-S-MNSP1,"2002/08/06 00:00:00",1,MRYLINK1,"2002/08/06 14:55:48"
V-S-MNSP1,"2002/08/15 00:00:00",1,MRYLINK1,"2002/08/15 10:26:30"
T-V-MNSP1,"2005/11/11 00:00:00",1,BASSLINK,"2005/11/11 09:20:50"
T-V-MNSP1,"2005/11/11 00:00:00",3,BASSLINK,"2005/11/14 08:51:16"

Raw Text with Metadata

C,SETP.WORLD,DVD_MNSP_PARTICIPANT,AEMO,PUBLIC,2026/10/09,15:53:54,001791525234101,MONTHLY_ARCHIVE,001791525234101
I,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,INTERCONNECTORID,EFFECTIVEDATE,VERSIONNO,PARTICIPANTID,LASTCHANGED
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,N-Q-MNSP1,"2000/04/06 00:00:00",1,DIRLINKP,"2000/04/06 10:04:46"
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,V-S-MNSP1,"2002/08/06 00:00:00",1,MRYLINK1,"2002/08/06 14:55:48"
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,V-S-MNSP1,"2002/08/15 00:00:00",1,MRYLINK1,"2002/08/15 10:26:30"
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,T-V-MNSP1,"2005/11/11 00:00:00",1,BASSLINK,"2005/11/11 09:20:50"
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,T-V-MNSP1,"2005/11/11 00:00:00",3,BASSLINK,"2005/11/14 08:51:16"
C,"END OF REPORT",8

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 6 KB when zipped, 61 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

EFFECTIVEDATE
INTERCONNECTORID
PARTICIPANTID
VERSIONNO

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
PARTICIPANT_REGISTRATION	MNSP_PARTICIPANT	1

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,1,...
D,PARTICIPANT_REGISTRATION,MNSP_PARTICIPANT,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: PARTICIPANT_REGISTRATION