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Frequency Measure
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Residual
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RCR and Usage
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FCAS Summary
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Historical Performance and DCF
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Cost Rate
Region Frequency Measure
This graph plots the Frequency Measure (FM) in Hertz (Hz) every four seconds for each region in the NEM. Regions are identified by colours in the legend at the top of the graph.
Frequency Measure reflects the need to raise or lower the power system frequency towards 50 Hz where a positive FM means the frequency should be increased and a negative FM means the frequency should be decreased.
Regional Frequency Deviation
This graph plots the Frequency Deviation and Frequency Measure (FM) in Hertz (Hz) of a selected region every 4 seconds.
Frequency Deviation is the difference between the instantaneous frequency and 50 Hz for the region.
Frequency Measure reflects the need to raise or lower the power system frequency towards 50 Hz where a positive FM means the frequency should be increased and a negative FM means the frequency should be decreased. It is calculated by taking an exponential moving average of the negative Frequency Deviation.
Constraint Frequency Measure
This graph plots the Frequency Measure (FM) in Hertz (Hz) every 4 seconds for a selected constraint.
Frequency Measure reflects the need to raise or lower the power system frequency towards 50 Hz where a positive FM means the frequency should be increased and a negative FM means the frequency should be decreased.
Performance
The first graph shows the raise and lower residual performance for a selected region.
Residual performance is calculated using the residual deviations, the opposite of the sum of all deviation from units and interconnectors with appropriate metering. Raise performance is calculated using positive deviations and lower performance is calculated using negative deviations.
The second graph shows the reason flags for raise and lower residual performance for a selected region.
Performance Factor Reason Flags
Code | Description |
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0 | PF is calculated based on good input data |
1 | PF is Null as unit is a Non-Primary DUID in the group |
2 | PF against the Primary DUID representing the group |
4 | PF is Null as Input data is bad or unavailable |
6 | PF against the Primary DUID representing the group is Null as Input data is bad or unavailable |
8 | PF is Null as FM is unreliable |
10 | PF against the Primary DUID representing the group is Null as FM is unreliable |
12 | PF is Null as Input data is bad or unavailable and FM is unreliable |
14 | PF against the Primary DUID representing the group is Null as Input data is bad or unavailable and FM is unreliable |
Contribution Factors
The first graph shows the raise and lower residual contribution factors for a selected requirement.
Residual contribution factors are calculated based on the summed residual performances of all regions relevant to the constraint. If the summed residual deviation is positive, a raise contribution factor will be calculated and if the summed residual deviation is negative, a lower contribution factor will be calculated.
The second graph shows the reason flags for raise and lower residual contribution factors for a selected requirement.
RCF Reason Flags
Code | Description |
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0 | CF is calculated based on good input data and the unit is not part of a group. |
1 | CF = 0 as unit is a Non-Primary DUID in the group |
2 | CF against the Primary DUID representing the group |
4 | CF is calculated based on Substituted Performance |
6 | CF against the Primary DUID representing the group is calculated based on substituted performance |
8 | CF is 0 as FM is unreliable |
10 | CF against the Primary DUID representing the group is 0 as FM is unreliable |
16 | CF is 0 as the percentage of units with unavailable input or bad data is greater than the threshold percentage |
18 | CF against the Primary DUID representing the group is 0 as the percentage of units with unavailable input or bad data is greater than the threshold percentage in the region associated to the Requirement. |
32 | CF against the excluded units while assigning CF and NCF as 0 |
RCR
This graph plots the Requirement for Corrective Response (RCR) for selected requirements.
RCR represents the peak volume of helpful response provided by all units in a trading interval in each requirement. For a raise requirement, all positive deviations are summed along with the residual deviation if it is positive. For a lower requirement, all negative deviations are summed along with the residual deviation if it is negative.
RCR is used to scale the monetary value of FPP trading amounts where the larger the RCR value is, the larger the FPP trading amounts.
Usage
This graph plots the Usage for selected requirements.
Usage reflects the proportion of enabled Regulation FCAS used within a trading interval for a requirement.
Usage for raise requirements is the maximum of the sum of units’ positive deviations which are enabled for the requirement. Usage for lower requirement is the maximum of the absolute sum of units’ negative deviations that are enable for the requirement.
This tabular data view provides a summary of FCAS requirements as used by FPP calculations (for only RAISEREG/LOWERREG bid types).
- Regulation MW is amount of the enabled regulation MW used in the FPP calculation relating to each constraint.
- Constraint Marginal Value is the marginal value in AUD/MW per hour related to the constraint.
- P Regulation, also known as the adjusted marginal value, is the marginal price of meeting the global or local market ancillary service requirement for the raise or lower regulating service in the trading interval. It is measured in $ per MW and is used to calculate FPP Trading Amounts.
- Base Cost is the constraint cost before any splitting of costs (into regulation and delayed contingency costs) occur.
- TSFCAS is the FCAS recovery amount related to the constraint also known as adjusted cost.
- Total FPP is the total amount of FPP changing hands related to the constraint (not the sum of FPP).
- RCR is the calculated requirement for corrective response in MW from the FPP database for each constraint.
- USAGE is the proportion of regulation FCAS that was calculated to be used for each constraint.
This tabular data view provides a summary of historical performance calculated based on a historical period and default contribution factors calculated for a unit based on historical performance. The historical data is applicable for the current week, previous week, and next week.
The data is effective for a billing period and is aligned to the settlement week.
Unit Historical Performance
Unit Performance data shows both calculated FPP Historical performance and calculated Regulation historical performance.
Unit DCF
The Unit DCF tab shows Default Contribution Factors calculated based on the historical performance of the FPP unit for the Constraint ID for that trading interval.
Residual DCF
The Residual DCF tab shows Residual Default Contribution Factors calculated based on the historical performance for the Constraint ID for that trading interval.
Performance Cost Rate
- FPP Payment Rate is the FPP payment rate per performance of each eligible unit with appropriate metering in $/MWh. This value will be either 0 (nil) or a positive value (credit) only.
- FPP Recovery Rate is the FPP recovery rate per performance of each eligible unit with appropriate metering in $/MWh. This value will be either 0 (nil) or a negative value (debit) only.
- Used FCAS Rate is the used regulation FCAS cost recovery rate per performance of each eligible unit with appropriate metering in $/MWh. This value will be either 0 (nil), or a negative value (debit) only
- Unused FCAS Rate is the unused regulation FCAS cost recovery rate per performance of each eligible unit with appropriate metering in $/MWh. This value will be either 0 (nil), or a negative value (debit) only.
Residual Cost Rate
- Residual FPP Rate is the calculated FPP trading amount for the residual against the constraint ID in $ per MW hour.
- Residual Used FCAS is the recovery of used regulation FCAS against the residual associated to the constraint in $ per MWh.
- Residual Unused FCAS is the recovery of unused regulation FCAS against the residual associated to the constraint in $ per MWh.