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Use Case

vAdvisor Concept is a demonstration that automates the energy and FCAS bidding process for a battery with the objective of maximising value. To realise this objective, vAdvsior Concept optimises the 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 (and including include retail load, contract position etc), renewable plant and embedded batteries and other generation and load facilities.

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Note that vAdvisor Concept shows only a scaled down version of the Production vAdvisor. To understand the full functionality and flexibility of vAdvisor and pdView’s relationship model please contact pdView.

Outputs

The following outputs can be downloaded to an excel spreadsheet that allows you to interrogate the results and compare them with your own analysis and dispatch formulation.

• Dispatch instructions demonstrated using binary bids. In the live system, for a scheduled facility these binary bids would be expanded to fill ten pricebands. For an embedded facility these binary bids represent the instructions sent directly to the facility controller.

• Actual settlements including a breakdown of revenue and costs. Aggregated settlements.

• Actual dispatch (state of charge) profile.

• Forecast state of charge profile for the predispatch time horizon, updated every five minutes.

Procedure

This procedure generates a day or more of outputs. For more detail click on the links to visit our vAdvisor Concept Knowledge Space.

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Note that you may create as many assumption sets and run as many solves for different days using different assumptions as you wish.

Expected result

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 aim to show that our vAdvisor Concept is better at dispatching a battery than a human who continuously dispatches a battery 24/7.

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1. Bids are to be determined only by contemporary market information as would be the case in operation (i.e. Pre-dispatch). Specifically our problem formulation does not consume perfect foresight of market outcomes.

2. Settlement is consistent with the NEMDE trapezium and co-optimisation principals as they apply to plant bids.

3. Settlement to be applied on 5-minute basis.

4. 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).

5. Includes plant throughout cycle cost.

6. Energy market prices to be considered non-elastic only for the purpose of this Concept.

7. FCAS market prices to be elastic.

8. FCAS bid volume to be capped.

9. FCAS regulation utilisation to be 25%.

10. Other assumptions supplied by the Client.

Pages Overview

Assumptions

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.

Progress

The Progress page shows the progress of each solve by calculating the expected number of intervals and matching against solved intervals, calculated based on the passed date interval for the solve.

Results

The results page allows the user to inspect the following either in graph mode or table mode.

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