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Performance metrics change and evolve as manual bids transition to Algo bids and as the sophistication of Algo bids improves. Therefore the number and types of reports will is likely to change over time.

Tip

Hover over Report and click the report you wish to view

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Using a Report Page

Open a Report

Tip
  • Select

a Date,
  • the Settlementdate and DUID(s)

and Algo (if more than one is available)
  • if an option)

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Info
  • If more than one DUID is selected then

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  • the values for each duid are aggregated (summed) in the report.

  • The Report will automatically update as the date is changed or the selected duid(s) change.

  • The Refresh button’s sole function is to update a current day report to include new dispatch intervals as they materialise.

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View options

Tip

Click on the ‘greater and less than’ symbols to expand and contract components of the report

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Info
  • The unit of all values is $.

    • The exception is volume which is MW.

  • Energy volume is the average totalcleared of the dispatch interval ending and beginning.

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Tip
  • Click on ‘Columns’ in the top right of the table to list all the columns.

  • Check or uncheck to hide or make visible.

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Download Data

Tip
  • Click on a cell in a report.

  • Ctrl +A will select all cells.

  • Right mouse click and select one of the options including export to csv.

  • NOTE: you may do this for any table in pdBidr.

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Report Types

Benchmarking reports evolve over time as reporting requirements change. For example as manual bids are replaced by Algo bids a new report may compare Algo actual gross margin against Algo “perfect hindsight” gross margin where perfect hindsight is calculated by rerunning the Algos using actual price outcomes to formulate optimal volumes from which gross margin is derived.

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Therefore the following list is an example set only.

Performance detailed 5min

This report compares the gross margin of Actual Manual bids against Algo “what if” bidsBids against What If Bids. Other metrics such as the difference in volumes are also reported.

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  • A break down of the gross margin by service for both the Algo ‘what if’ What If and the Actual (Manual) bidBids

    • A description of gross margin is below

  • The difference between Algo ‘what if’ What If and the Actual (Manual) bid Bid gross margin.

    • Note that the difference is defined as “Algo ‘what if’ minus Manual Actual”What If minus Actual

  • Specific effects on gross margin that can be attributed to particular market conditions. These are:

    • The service allocation stack (SAS) for lowerFCAS and RaiseFCAS.

      • Gross margin difference is attributed to lowerFCAS SAS when Algo expected energy target is greater than manual expected energy target. Under certain market conditions the algorithms increase energy generation in order to increase lowerFCAS enablement resulting in overall greater gross margin.

      • Gross margin difference is attributed to raiseFCAS SAS when Algo expected energy target is less than manual expected energy target. Under certain market conditions the algorithms decrease energy generation in order to increase raiseFCAS enablement resulting in overall greater gross margin.

    • Avoiding negative regulation gross margin for either lowerReg or raiseReg due to the change in generated energy caused by unit response to regulation AGC component.

      • Gross margin difference is attributed to Algos avoiding negative gross margin if the optimised regulation volume is zero, and to avoid double counting for SAS (above), the Algo and manual energy bid must be the same.

Daily Summary

This report contains the same components of gross margin as Actual What If described above. However this report aggregates (sums) the 5 minute values for the selected day. Note that it does not include the specific effects on gross margin.

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Raise Contingency Liability

This report shows the total liability for the cost recovery mechanism of Raise Contingency Services. The report includes the Generator Liability $ per MWh and the total liability by duid (that being the Generator Liability $ per MWh multiplied by the MWh of generation).

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Definitions

Gross Margin

As a good first order approximation, total gross margin includes the revenue gained from providing a service plus the impact on the energy produced and the fuel used in providing an FCAS service plus any other impacts.

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