Liangcai-Xu/Coordinate-investment-in-grid-and-charging-network: Code for "Proactive Grid Investment Enables V2G for 100% Adoption of Electric Vehicles in Urban Areas"
Abstract
This code is for the paper "Proactive Grid Investment Enables V2G for 100% Adoption of Electric Vehicles in Urban Areas". This repository contains several folders, each of them has specific targets. Folder "EV charging behaviour model and demongraphic information" contains several codes and dataset. Its function is to help formulate the census-level EV charging behavior model. Folder "Figure plots" contains all the codes, which are used to generate the figures in the manuscript. Folder "Power system model" contains all the codes, which are used to calculate the some results for the electricity grid in Bay Area. Folder "Preprocess of data" contains the codes, which are used to download the raw data and process this dataset. Folder "Simulation data calculations" contains the codes, which are used to analyze the simulation results. Folder "Transportation-power coupled model" contains the codes, which are used to help construct the interaction between grid and charging infrastructure. All the environment requirements for these codes are also included in each folder. Full Changelog: https://github.com/Liangcai-Xu/Coordinate-investment-in-grid-and-charging-network/commits/code
Fields of Study & Subjects
Electric Vehicles and Infrastructure
Smart Grid Energy Management
Electric Power System Optimization
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN