Project 47: Optimization Scenario Design and Practice for Electric Vehicles and Smart Grid Interaction

Contact Information:

Dr. Yun Zhou

Project Description and Objectives:

Governmental policies and incentives have been beneficial for the adoption of electric vehicles (EVs) all around the world. The higher prevalence of EVs brings down greenhouse gas emissions but also noticeably increases the power demand on the power system. The increased load must be dealt with economically, either by adding power generation or implementing effective demand-side management techniques for the sound operation of the power system. Typical interaction modes for EVs and the power grid include coordinated EV charging, ancillary services provided by the EVs, etc. With the development of Energy Internet, changing factors exist in the interactions of EVs and the power grid or other energy grids. It has important practical significance to further design and practice newer optimization scenarios for EVs and smart grid interaction.

Eligibility Requirements:

Major in Engineering.

Strong analysis and design capability.

At least one programming skill (MATLAB, C++, Java etc.).

Fluent in English.

Main Tasks:

Designing and modeling optimization scenarios for electric vehicles and smart grid interaction.

Programming practice to realize the models proposed.

Website:

Lab: http://eei.sjtu.edu.cn/en/default.aspx

School: http://www.seiee.sjtu.edu.cn/