Distributionally Robust Optimal Dispatching for Electric Vehicle‐Integrated Chance Constrained Economic Dispatch Model

ABSTRACT The growing penetration of renewable energy sources and the electrification of transportation have introduced significant challenges in power system operations, including renewable intermittency, forecast uncertainties and increased peak demand. This paper presents an electric vehicle‐integrated chance‐constrained economic dispatch (EV‐Integrated CCED) model, a novel framework that integrates electric vehicles (EVs) as distributed, bidirectional energy storage resources to address these issues. Unlike traditional models, the proposed approach incorporates a distributionally robust optimisation framework to handle uncertainties in renewable generation and net load forecasts, ensuring reliable and cost‐efficient operation even under worst‐case scenarios. By dynamically scheduling EV charging and discharging activities, the model enhances grid flexibility, optimises renewable energy utilisation and minimises operational costs. Numerical studies on the 8‐zone ISO‐NE test system demonstrate the model's ability to significantly outperform traditional methods, showcasing its potential for modern power systems transitioning to a clean and electrified energy future.