REALLOCATION
The REALLOCATION table shows the financial transactions agreed between two participants that are settled through the AEMO pool settlements process.
Note
The column
REALLOCATION_TYPEcan be used in conjunction with CREDITPARTICIPANT or DEBITPARTICIPANT to determine who submitted a reallocation.
Column Schema
REALLOCATIONID
Reallocation identifier
SQL Type: VARCHAR2(20)
Polars Type: str
This column is mandatory, and a primary key.
AGREEMENTTYPE
$, (Quantity) Mwh, SWAP, CAP or FLOOR
The SQL type is VARCHAR2(10).
This is actually a factor/enum, with values:
-
SWAP -
CAP -
FLOOR
This column is not mandatory.
CALENDARID
Unique ID of the calendar for which data is requested
SQL Type: VARCHAR2(30)
Polars Type: str
This column is not mandatory.
CREDITPARTICIPANTID
The participant to be credited for the reallocation
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is not mandatory.
CREDITREFERENCE
Optional reference detail for credit participant
SQL Type: VARCHAR2(400)
Polars Type: str
This column is not mandatory.
CURRENT_STEPID
Reallocation state. One of SUBMITTED, AUTHORISED, CANCELLED.
The SQL type is VARCHAR2(20).
This is actually a factor/enum, with values:
-
SUBMITTED -
AUTHORISED -
CANCELLED
This column is not mandatory.
DAYTYPE
The day type profile for which the reallocation applies over the start and end date range. Valid entries are BUSINESS, NON_BUSINESS or FLAT.
The SQL type is VARCHAR2(20).
This is actually a factor/enum, with values:
-
BUSINESS -
NON_BUSINESS -
FLAT
This column is not mandatory.
DEBITPARTICIPANTID
The participant to be debited for the reallocation
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is not mandatory.
DEBITREFERENCE
Optional reference detail for debit participant
SQL Type: VARCHAR2(400)
Polars Type: str
This column is not mandatory.
ENDDATE
Last day of the Reallocation contract
Warning
Despite what the name suggests, this is a datetime, not a date.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/01/20 00:05:00
INTERVALLENGTH
The length of settlement intervals (in minutes) in the reallocation profile
SQL Type: NUMBER(3,0)
Polars Type: pl.UInt16
This column is not mandatory.
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: 2026/01/20 00:05:00
REALLOCATION_TYPE
Denotes a Credit or Debit reallocation with a value of "C" or "D" respectively
The SQL type is VARCHAR2(1).
This is actually a factor/enum, with values:
-
C -
D
This column is not mandatory.
REGIONID
Region identifier, being the spot price reference node for this reallocation
For more information, see the dedicated documentation page.
The SQL type is VARCHAR2(10).
This is actually a factor/enum, with values:
-
QLD1 -
VIC1 -
TAS1 -
NSW1 -
SA1 -
SNOWY1
This column is not mandatory.
STARTDATE
First day of the Reallocation contract
Warning
Despite what the name suggests, this is a datetime, not a date.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/01/20 00:05:00
New Data Timing
When two participants have settled through the AEMO pool settlements process
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("ENDDATE", "LASTCHANGED", "STARTDATE").str.strptime(
pl.Datetime, dt_s_fmt
),
)
.cast(
{
"REALLOCATIONID": str,
"AGREEMENTTYPE": pl.Enum(["SWAP", "CAP", "FLOOR"]),
"CALENDARID": str,
"CREDITPARTICIPANTID": pl.Categorical,
"CREDITREFERENCE": str,
"CURRENT_STEPID": pl.Enum(["SUBMITTED", "AUTHORISED", "CANCELLED"]),
"DAYTYPE": pl.Enum(["BUSINESS", "NON_BUSINESS", "FLAT"]),
"DEBITPARTICIPANTID": pl.Categorical,
"DEBITREFERENCE": str,
"INTERVALLENGTH": int, # or pl.UInt16
"REALLOCATION_TYPE": pl.Enum(["C", "D"]),
"REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
}
)
# Deduplicate
# We want one row per ['REALLOCATIONID']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(subset=["REALLOCATIONID"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Availability
Visibility: Private
This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.
Deduplication and PDR Loader Configuration
The primary keys are:
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.
| Report Name | Report Subtype | Version |
|---|---|---|
| SETCFG | REALLOCATION | 1 |
| SETCFG | REALLOCATION | 2 |
This means that the CSV files start with metadata columns:
or
ROW_FILTER_TYPE is LASTCHANGED
Indexes
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: SETTLEMENT_CONFIG