sizing: sizing stand-alone PV systems based-reliability

In frimane/SolMultinomClass: Solar Radiation Classification Using Nonparametric Multinomial Mixture Modeling

Description

This method consists of a detailed statistical simulation of the PV sys- tem behavior, in order to determine the loss of load probability corresponding to pairs of generator capacity (ca) and accumulator capacity values (cs). ca is defined as the ratio between the mean PV-array energy production and the mean load energy demand. cs is defined as the maximum energy that can be taken out from the accumulator divided by the mean load energy demand. For more information see the reference below.

Lorenzo, E., 2003. Energy collected and delivered by PV modules. Wiley. URL: http://onlinelibrary.wiley.com/book/10.1002/9780470974704, doi:https://doi.org/10.1002/9780470974704.

Usage

  sizing(meas, margC = rev(seq(0.5, 9, 0.01)), margA = seq(0.1, 2.5, 0.01), LLP = 0.05)

Arguments

meas	vector of daily global solar radiation
margC	a numerical vector containing the range of accumulator capacity values.
margA	a numerical vector containing the range of generator capacity values.
LLP	The desired loss of load probability.

Value

The function plot the curve of the iso-reliability desired and provide also an object of class matrix of two rows represents each point in the ca −cs plane (each ponit represents a size of the PV system).

Author(s)

Azeddine Frimane.
Laboratory of renewable Energies and Environment (LR2E),
Faculty of Science, IBN TOFAIL University, Morocco.
email: [e-mail]; [e-mail]

frimane/SolMultinomClass documentation built on Jan. 18, 2021, 4:49 a.m.