minimum_cost: Computes the minimum cost function

In EVchargcost: Computes and Plot the Optimal Charging Strategy for Electric Vehicles

Computes the minimum cost function

Description

Function that computes the minimal cost function for a given charging function (given by a, alpha and beta), an electricity price function (given by delta and gamma), a consumption tau and a range R

Usage

minimum_cost(a, alpha, beta, delta, gamma, tau, R)

Arguments

a	vector with the breaking points of charging function in the x-axis
alpha	vector with the slopes of the charging function on each segment
beta	vector with the y-intercepts of the charging function on each segment
delta	vector with the times duration of each segment of electricity price function
gamma	vector with the prices of the electricity on each segment of electricity price function
tau	consumption of the vehicle (numerical value)
R	range of the vehicle (numerical value)

Value

list with the x-values and y-values of the minimum cost function

Examples

a <- c(0,3.3,6.6,10)
alpha <- c(0.1757576, 0.07272727, 0.05294118)
beta <- c(0, 0.34, 0.4705882)
delta <- c(4, 3, 5)
gamma <- c(0.45, 0.25, 0.5)
tau <- 0.15
R <- 250
opt_cost_function = minimum_cost(a, alpha, beta, delta, gamma, tau, R)
print(opt_cost_function)

EVchargcost documentation built on May 29, 2024, 8:29 a.m.