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MTPASAINTERCONNECTORSOLUTION_D

MTPASAINTERCONNECTORSOLUTION_D shows interconnector results for MT PASA, shown region by region.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

MTPASAINTERCONNECTORSOLUTION_D is public data.

Source

MTPASAINTERCONNECTORSOLUTION_D updates weekly.

Volume

Each run overwrites data from previous runs for all future dates. Growth is one record per day per interconnector.

Column Schema

DATETIME

Date of results. One record for each day for next two years.

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

This column is mandatory, and a primary key.

Example: 2026/01/20 00:05:00

INTERCONNECTOR_ID

Interconnector Identifier

SQL Type: VARCHAR2(12) Polars Type: str

This column is mandatory, and a primary key.

LASTCHANGED

Last change date and time

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

NEGATIVE_BINDING

Indication of a binding limit in the in direction

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

NEGATIVE_INTERCONNECTOR_FLOW

The MW flow in

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

This column is not mandatory.

NEGATIVE_TRANSFER_LIMITS

the MW transfer limits in

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

This column is not mandatory.

POSITIVE_BINDING

Indication of a binding limit in the out direction

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

POSITIVE_INTERCONNECTOR_FLOW

The MW flow out

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

This column is not mandatory.

POSITIVE_TRANSFER_LIMITS

The MW transfer limits out

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

This column is not mandatory.

RUN_DATETIME

The run date and time

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

New Data Timing

On MTPASA solution published to the market (usually once per week)

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("DATETIME", "LASTCHANGED", "RUN_DATETIME").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "INTERCONNECTOR_ID": str,
            "NEGATIVE_BINDING": str,
            "NEGATIVE_INTERCONNECTOR_FLOW": pl.Float64,
            "NEGATIVE_TRANSFER_LIMITS": pl.Float64,
            "POSITIVE_BINDING": str,
            "POSITIVE_INTERCONNECTOR_FLOW": pl.Float64,
            "POSITIVE_TRANSFER_LIMITS": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['DATETIME', 'INTERCONNECTOR_ID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["DATETIME", "INTERCONNECTOR_ID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Availability

AEMO's documentation states that this table's visibility is "Public". However, it is not available in the public monthly MMSDM archive. AEMO probably call this public because it is available to all market participants over private FTP.

There is a chance that is is still public to non-participants. It may only be available for some months; or (rarely) it may be available in a non-standard location.

Deduplication and PDR Loader Configuration

The primary keys are:

PDR Loader configuration does not mention this table, so it is unclear how to choose which row to keep when there are multiple rows for a given set of primary keys.

You should probably take the row with the maximum LASTCHANGED.

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: HISTORICAL TABLES