Free Wireshark plugin to analyze ISO15118 V2G communication between electric vehicles (EV) and charging stations (EVSE).

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://pubsonline.informs.org/doi/10.1287/msom.2022.0154 and https://arxiv.org/pdf/2005.06042v4.pdf. This project was funded by the Institut VEDECOM.

The goal of this demo is to illustrate Vehicle-to-grid (V2G) technology in simple multiplayer browser game

Fork from the Martin-P/OpenV2G with the goal to provide an universal command line interface. This is used in the python part of the CCS project, see https://github.com/uhi22/pyPLC.

Vehicle-to-grid (V2G) and grid-to-vehicle (G2V) transient stability simulations conducted on a modified IEEE-3 bus case

Smart Nanogrid Gym is an OpenAI Gym environment for simulation of a smart nanogrid incorporating renewable energy systems, battery energy storage systems, electric vehicle charging station, grid connection, a connected building and using vehicle-to-everything methodology.