add_charging_infrastructure: Assign a charging station to EV charging sessions

In mcanigueral/evsim: Electric Vehicle Charging Sessions Simulation

Assign a charging station to EV charging sessions

Description

Variable ChargingStation and Socketwill be assigned to the sessions tibble with a name pattern being: names_prefix + "CHS" + number

Usage

add_charging_infrastructure(
  sessions,
  resolution = 15,
  min_stations = 0,
  n_sockets = 2,
  names_prefix = NULL,
  duration_th = 0
)

Arguments

sessions	tibble, sessions data set in standard format marked by {evprof} package
resolution	integer, time resolution in minutes
min_stations	integer, minimum number of charging stations to consider
n_sockets	integer, number of sockets per charging station
names_prefix	character, prefix of the charging station names (optional)
duration_th	integer between 0 and 100, minimum share of time (in percentage) of the "occupancy duration curve" (see function plot_occupancy_duration_curve). This is used to avoid sizing a charging infrastructure to host for example 100 vehicles when only 5% of time there are more than 80 vehicles connected. Then, setting duration_th = 5 will ensure that we don't over-size the charging infrastructure for the 100 vehicles. It is recommended to find this value through multiple iterations.

Value

tibble

Examples

# Assign a `ChargingStation` to every session according to the occupancy
sessions_infrastructure <- add_charging_infrastructure(
  sessions = head(evsim::california_ev_sessions, 50),
  resolution = 60
)
print(unique(sessions_infrastructure$ChargingStation))

# Now without considering the occupancy values that only represent
# a 10% of the time
sessions_infrastructure <- add_charging_infrastructure(
  sessions = head(evsim::california_ev_sessions, 50),
  resolution = 60, duration_th = 10
)
print(unique(sessions_infrastructure$ChargingStation))

mcanigueral/evsim documentation built on April 5, 2025, 3:05 a.m.