Page Properties | ||
---|---|---|
|
Table of Contents | ||||
---|---|---|---|---|
|
Summary
The Financial Unit Performance Page charts and tabulates the gross margin, components of gross margin, variables that relate to gross margin, regulation enablement and non-enablement factors and other metrics such as market share of FCAS. The primary use is to better understand the revenues and liabilities for regulation FCAS so that revenues may be improved and liabilities can be identified and therefore reduced. The reports are specifically designed to be aggregated over both time (from 5 min to 1 year) and units (from single units to stations, portfolios and regions).
Definition of gross margin and the components
A full description and derivation of gross margin and the components and underlying variables can be found in the PAGE within "FCAS pays documentation": "regulation gross margin"
How To Access "Financial Reports"
units performance responding to an approximated AGC signal. The performance metrics imitate those used by the PJM market of North East USA.
The PJM presentation can be found: https://www.pjm.com/-/media/committees-groups/task-forces/rmistf/20151111/20151111-item-05-performance-based-regulation-concepts.ashx
Although the PJM metrics are not utilised within the NEM they provide an excellent way to assess both your and your competitor's performance in providing regulation FCAS services. These data are also a good place to begin exploring the relationship between frequency under system normal conditions and unit behaviour.
The following five variables are charted, the three performance metrics being Delay, Precision and Accuracy as well as Mileage (also cited in the above paper). The variable "Mileage perMW enabled" is the same as "Mileage" divided by the MW of regulation enabled. It has been included to get a sense of the magnitude of all variables. For example if Mileage = Mileage per MW enabled then this implies that only 1MW of regulation service has been enabled and hence the values of the other metrics are based on relatively small signals and corresponding response.
Select the services, Lowerreg and Raisereg from the select SERVICES option.
Then select the Variables Not Enabled Factors and Enabled Factors.
Then select the level of unit and time aggregation and the time period.
Note that to calculate the 4 week Portfolio Factor you need to sum 4 weeks of each factor, take the minimum of zero and the value for enabled factors and sum the four values.
Calculation of raise/lower non enablement and enablement factors
The recovery of regulation FCAS costs is described in AEMO's document, "REGULATION FCAS CONTRIBUTION FACTOR PROCEDURE". The preceding step in aggregating a portfolios factor, "Area Portfolio Factor" is to calculate the Raise and Lower Enablement Factors, REF and LEF respectively, and the Raise and Lower Non-Enablement Factors, RNEF and LNEF respectively. The following example shows how to calculate these four values for a station, in this case Vales Point.
Portfolio Factor = min(0, (299817 + 1089327 + 591092 - 487886)) + (-1126500 - 5966139 - 5920043 - 3024999) + min(0, (1708742 + 4112717 + 983939 + 6151298)) + (628208 + 2360981 - 602921 + 982151)
Portfolio Factor = 0 - 160376681 + 0 + 3368419
Portfolio Factor = - 12,669,262
Selecting units, station, portfolios and/or regions
Expand the selection tree and choose the objects you wish to include in your report (left picture).
You can remove branches of the tree and you can add filters on any branch.
The picture to the right shows portfolio branch switched off.
Click add filter, in this case region filter has been selected for NSW1.
You can add more than one filter and more than one object per filter.
Calculation of raise/lower non enablement and enablement factors
The recovery of regulation FCAS costs is described in AEMO's document, "REGULATION FCAS CONTRIBUTION FACTOR PROCEDURE". The preceding step in aggregating a portfolios factor, "Area Portfolio Factor" is to calculate the Raise and Lower Enablement Factors, REF and LEF respectively, and the Raise and Lower Non-Enablement Factors, RNEF and LNEF respectively. The following example shows how to calculate these four values for a station, in this case Vales Point.