electric-vechicle-grid-simualotr-model-overview-e9886eab50304fd0.pdf

The EV Grid Simulator is an energy modeling tool developed by the World Resources Institute and the UPS Foundation to quantify the impact of electric vehicle (EV) charging on local low-voltage distribution grid infrastructure, such as transformers and substations.

• The EV Grid Simulator is designed to help various stakeholders, including city planners, facility owners, and distribution service operators, analyze how EV charging affects distribution transformers and substations to determine if costly grid upgrades can be avoided through vehicle-grid integration (VGI) measures. The tool includes default scenarios for residential, office, and public use, as well as customizable cases.
• The model requires user inputs across three categories: EV characteristics (technical data like battery capacity and behavioral data like arrival time), charging infrastructure (charger types and power), and grid infrastructure (transformer rated capacity and hourly energy demand).
• The simulator provides three primary outputs: the calculation of hourly energy demand for EV charging based on fleet growth, the identification of grid vulnerabilities by determining the penetration level at which a transformer may be overloaded, and the creation of an optimized hourly energy demand curve to determine if infrastructure upgrades can be deferred via managed smart charging.
• The tool offers insights into VGI energy potential, such as using EV batteries as grid assets for renewable energy integration or emergency resources, and can identify optimal public charging locations by analyzing multiple transformers within a city alongside parking habits and grid resilience.
• The model has several analytical limitations: it does not provide financial or cost-benefit analyses, it does not suggest specific VGI applications, it assumes vehicles are fully charged upon unplugging, and it cannot accommodate vehicles that charge more than once per day, such as certain electric buses.

APA

World Resources Institute (n.d.). electric-vechicle-grid-simualotr-model-overview-e9886eab50304fd0.pdf. https://files.wri.org/s3fs-public/uploads/electric-vechicle-grid-simualotr-model-overview.pdf

Chicago

World Resources Institute. electric-vechicle-grid-simualotr-model-overview-e9886eab50304fd0.pdf. n.d. https://files.wri.org/s3fs-public/uploads/electric-vechicle-grid-simualotr-model-overview.pdf.

Wikipedia

{{cite report |author=World Resources Institute |title=electric-vechicle-grid-simualotr-model-overview-e9886eab50304fd0.pdf |url=https://files.wri.org/s3fs-public/uploads/electric-vechicle-grid-simualotr-model-overview.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldresourcesinstitutendelectricvechiclegridsimualotrmodeloverviewe9886eab50304fd0pdf, author = {{World Resources Institute}}, title = {{electric-vechicle-grid-simualotr-model-overview-e9886eab50304fd0.pdf}}, institution = {World Resources Institute}, url = {https://files.wri.org/s3fs-public/uploads/electric-vechicle-grid-simualotr-model-overview.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }