Use Case
To show how our system automates and optimises automate the energy and FCAS bids and optimise discharge/recharge profile for a scheduled battery using real time (historical) data. The vAdvisor System can equally automate the bids for portfolios limited to FCAS bids, portfolios including both energy and FCAS, renewable plant and embedded batteries and other generation and load facilities.
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That the value generated by the Facility is more than the value calculated manually (by you). That the forecast and actual (modelled) Facility state is within physical limits. These results show that our vAdvisor Concept is better at dispatching a battery than a human continuously dispatching a facility 24/7.
Constraints: The following are provided as an effective rule set for producing the deliverable:
Bids are to be determined only by contemporary market information as would be the case in operation (i.e. Pre-dispatch). Specifically , this is not to be based on our problem formulation does not consume perfect foresight of market outcomes.
Settlement is to be consistent with the basic NEMDE trapezium and co-optimisation principals as they apply to plant bids (not with regard to the broader market).
Settlement to be applied on 5-minute basis.
Dispatch to be consistent with physical constraints of plant (Energy/SOC, rated power, round trip efficiency), and market constraints (linear energy target ramp, FCAS Contingency registered capacity).Account to be taken of plant
throughoutcycle costIncludes plant throughout cycle cost.
Energy market prices to be considered non-elastic only for the purpose of this Concept.
FCAS market prices to be elastic.
FCAS bid volume to be capped.
FCAS prices to reference VIC1 node and apply multiplier schedule.
FCAS regulation utilisation to be 25%.
Other assumptions supplied by the Client.
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The assumptions page allows the user to save any set of assumptions that can be used as inputs into the solve cycle. The user may also inspect the assumptions or edit them for any given set.
Solver
The Solver page allows the user to select a given set of assumptions and to select a date range. The no of scenarios is set to one and cannot be changed. A scenario referes to a price scenario and the app requires only the current predispatch price to be selected.
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