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EVs & Power Systems

Research / Applications

EVs & Power Systems

— where we apply it

As electric vehicles transform transportation, they reshape the power grid. INSPIRE Lab develops integrated frameworks for charging infrastructure planning, vehicle-to-grid integration, and demand flexibility through pricing — treating EVs not just as loads, but as distributed grid assets that can support sustainability and reliability.

Problems We Tackle

— three core challenges
Charging Infrastructure
Problem 01

Charging Infrastructure

Planning and deploying public charging networks under competitive markets and emerging mobility needs.
Grid Integration and V2G
Problem 02

Grid Integration & V2G

Managing EV charging impacts on power systems through V2G, topology reconfiguration, and stochastic optimization.
Demand Flexibility and Pricing
Problem 03

Demand Flexibility & Pricing

Using EV charging as virtual grid assets through spatiotemporal pricing and load smoothing.

Featured Publications

— recent highlights
Stochastic Multi-Agent Framework figure
IEEE TTE · 2021
A Stochastic Multi-Agent Optimization Framework for Interdependent Transportation and Power System Analyses
Guo, Afifah, Qi & Baghali
Smoothing Daily Load Profile figure
SEGN · 2025
Electric Vehicles’ Potential for Smoothing Daily Load Profile Considering Mobility Needs and Solar Output
Shishvan, Qin & Guo
Quantifying EV Flexibility figure
Cell Reports · 2025
Quantifying Spatiotemporal Charging Flexibility of Electric Vehicles as Virtual Grid Assets to Accelerate Sustainable Energy Transition
Chen, Shishvan, Guo & Qin
Full Publication List →

Highlighted Projects

PI NSF CAREER

A Decentralized Optimization Framework for Next-Gen Transportation and Power Systems with Large-scale Transportation Electrification

PI NSF · Collaboration with Purdue

EV Charging Flexibility as Virtual Grid Assets for Sustainable Energy Transition

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