OptimPriceStorage: Optimisation of storage operation with market prices taking...
In ConConPiWiFun: Optimisation with Continuous Convex Piecewise (Linear and Quadratic) Functions

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/OptimStorage.R

Optimisation of storage operation with market prices taking into acount storage efficiency and network taxes.

1 2	OptimPriceStorage(Prices,Pplus,Pmoins,Cplus,Cmoins=0, efficiencyS=0,efficiencyP=efficiencyS,networkTax=0)

`Prices`	A vector of prices
`Pplus`	A value for the upper power constraint or a vector of values with the same size as Prices
`Pmoins`	A value for the lower power constraint or a vector of values with the same size as Prices
`Cplus`	A value for the upper capacity constraint or a vector of values with the same size as Prices
`Cmoins`	A value for the lower capacity constraint or a vector of values with the same size as Prices
`efficiencyS`	storage efficiency when storing electricity
`efficiencyP`	storage efficiency when producing electricity
`networkTax`	networkTax

function OptimPriceStorage solves # min_x sum_i=1^n Y_i*efficiencyP x_i*(x_i<0)+(Y_i*efficiencyS +networkTax)*x_i*(x_i>0) # Pmoins_i<= x_i <=Pplus_i i=1,...,n # Cmoins_i<= sum_j=1^i x_j <=Cplus_i i=1,...,n

when efficiency=1 and networkTax=0 this gives # min_x sum_i=1^n Y_i x_i # Pmoins_i<= x_i <=Pplus_i i=1,...,n # Cmoins_i<= sum_j=1^i x_j <=Cplus_i i=1,...,n

A list with

`Operation`	the optimal operation for each time step
`Revenue`	the revenue for each time step

TODO

Robin Girard

TODO

to See Also cplfunction (method OptimMargInt that is more general)

n=8760
Prices=runif(n,1,100) ##uniform random prices in [1;100] in Euro/MWh
Pmax=1; Pmin=-1; Cmax=5; ## 1MW maximum  during 5 hours.
res=OptimPriceStorage(Prices,Pmax,Pmin,Cmax) # solving the optimization problem
sum(res$Revenue)## Revenue
res=OptimPriceStorage(Prices,Pmax,Pmin,Cmax,efficiencyS=0.8) # solving the optimization problem
sum(res$Revenue)## Revenue