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Genesys Model A Monte Carlo Simulation. Random Variables Water Conditions Load (temperature) Thermal FOR Wind.

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Presentation on theme: "Genesys Model A Monte Carlo Simulation. Random Variables Water Conditions Load (temperature) Thermal FOR Wind."— Presentation transcript:

1 Genesys Model A Monte Carlo Simulation

2 Random Variables Water Conditions Load (temperature) Thermal FOR Wind

3 Genesys Dispatch Monthly Window (user specified) Day Hour

4 Monthly Dispatch Hydro regulator determines available hydro Hydro divided into blocks (URC, etc.) Dispatch order of hydro blocks wrt thermal resources based on user input prices

5 Window Dispatch Determines if system used flexibility in hourly dispatch from last window Forecasts how much hydro will use in next window (including flex) and determines the order the discretionary hydro will have in the dispatch compared to other resources

6 Day Dispatch Forecasts amount of hydro that will be needed in the next day Shapes the days hydro energy in to hours based on the load shape, sustained peaking limits, and off peak minimums

7 Hourly Dispatch Amount of hydro available comes from the day dispatch hourly shaping logic Order of hydro in the dispatch (i.e. shadow price) comes from the window dispatch Resources and loads specified by node Resources meet within node loads first Economic transactions done between nodes, taking into account transmission

8 Flexibility 1) Running monthly ave. hydro dispatch 2) Monthly hydro down to firm rights If 1) exceeded 2) in the previous window, the difference is the amount of flexibility Amount of flex can not exceed user input As long as the system is flexing, the hydro shadow price is at the flex hydro price

9 Flexibility Example February 1929 Monthly Hydro Energy to Firm Rights = MWa Window Running Average Hydro DispatchedFlex Amount MWa 3792 MWh MWa 0 MWh MWa46224 MWh MWa36960 MWh MWa 0 MWh At the end of the month the hydro regulator is rerun and the flex amount is set back to zero. The regulator made up 256 MWa of flex at the end of this month.

10 Off-Peak Purchase Logic User may specify an amount and the hours of availability of off-peak purchases If the system is forecasted to need flex in the next window, the off-peak purchases will be made available to the hourly dispatch. Otherwise, they are not available.

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