smart_charging: Smart charging algorithm

In mcanigueral/evflex: Tools to coordinate EV sessions based on user profiles and optimization objectives

Description

Smart charging algorithm

Usage

smart_charging(
  sessions,
  fitting_data,
  dttm_seq,
  window_length,
  opt_weights,
  responsive,
  power_th = 0,
  grid_cap = NULL,
  up_to_G = TRUE,
  sort_by_flex = TRUE,
  include_msg = FALSE
)

Arguments

sessions	sessions data set
fitting_data	optimization fitting data, first column being datetime. The other columns could be solar (solar generation) and fixed (static demand from other sectors like buildings, offices, ...).
dttm_seq	datetime sequence to apply smart charging
window_length	optimization window length
opt_weights	Named list with the optimization weight w. The names of the list must exactly match the user profiles names.
responsive	Named list with the ratio of sessions responsive to smart charging program for each profile. The names of the list must exactly match the user profiles names.
power_th	power threshold from to consider flexibility required
grid_cap	numeric, grid power capacity (in kW)
up_to_G	logical, whether to limit the flexible EV demand up to renewable Generation
sort_by_flex	logical, whether to sort the sessions to shift from higher to lower flexibility
include_msg	logical, whether to output the algorithm messages for every user profile and time-slot

Value

a list with two elements: optimization setpoints and coordinated sessions schedule

mcanigueral/evflex documentation built on Feb. 16, 2021, 8:01 p.m.