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What is FCASpays data
FCASpays data include 4 second causer pays, frequency indicator and mms data. These data arehave been;
- restructured so that variable numbers have been transposed to column labels,
- split into multiple tables for the four element types, those being Units (duids), System measurement point (e.g. NemSouth), Interconnector and Load. combined so that battery generator and load duid data create a clear picture of battery behaviour, particularly in Physical Data Page,
- expanded to include newly derived variables such as,
- trajectory: 4 second linear trajectory between dispatch interval energy targets,
- agc signal estimate: the best estimate for agc signal sent to the unit, not note that the control logic used to determine the actual agc signal is unique to each unit,
- basepoint: 4 second linear trajectory between the snapshot of scada output and generation target at the end of the dispatch interval,
- trajectory_ramp_mw_per_min: the required ramp rate per minute in order to reach the generation target,
- utilisation: the sum of response divided by the enablement of a regulation service,
- effective_enablement: the volume of regulation service available which is limited by AGC control logic,
- enablement and non-enablement factors:
for - regulation FCAS contribution factor used to determine regulation cost recovery liability, note that these factors are an average of the time period selected whereas the published data are 28 day averages,
- normalised so that new variables such as RaiseReg+Totalcleared to align are aligned with other variables such as generation,
- aggregate 5min variables including aggregated to 5min variables which includes averages, standard deviations, maximums and minimums, etc. For example maximum_participation_factor.
- restructured so that variable numbers have been transposed to column labels,
- split into multiple tables for the four element types, those being Units (duids), System measurement point (e.g. maximum_participation_factor
- NemSouth), Interconnector and Load.
Every variable includes a detailed definition that you can inspect using the information icon included with every variable.
Summary of FCASpays services
FCASpays is a web service accessible that is best accessed via Chrome only.
The aim use cases of FCASpays is are to help you inspect improve dispatch performance by inspecting 4 second causer pays and frequency indicator data, and to help you maximise value in the FCAS markets; primarily the regulation FCAS markets. FCASpays includes the following applicationspages;
Financial reports page
Monitor the actual costs and revenue of providing regulation FCAS. Shows a breakdown of actual regulation FCAS gross margin and reports on all FCAS revenue. Now includes Includes enablement factors used to determine regulation FCAS liabilities.
Physical data page
A visualisation tool to inspect 4 second causer pays data, includes our restructured tables and enhanced data fields such as a unit's Basepoint.
Performance metrics page
Actual regulation performance metrics published the following day so that you can quickly assess changes in unit performance and compare overall performance with other units and given different conditions.
Market Information Page
Provides information about the elements and variables such as unit capacity, fuel, fuel cost, FCAS services registered.
SQLpad Page
Write your own PostgresSQL queries to our 4 second causer pays data base. Using web browsers there are no firewall or security issues.
Applications Under Construction
Bid Optimiser - proof of concept is now available!
Generates bids using the objective to maximise value. This includes co-optimising bids between regions and applying our algorithms that predict the utilisation of regulation services and price elasticity.