Optimization of In-Motion EV Charging Infrastructure for Power Systems Using Generative Adversarial Network-Based Distributionally Robust Techniques

Optimization of In-Motion EV Charging Infrastructure for Power Systems Using Generative Adversarial Network-Based Distributionally Robust Techniques

This paper presents an innovative optimization framework for the co-management of dynamic electric vehicle (EV) charging lanes and power distribution networks, addressing grid stability amidst fluctuating EV charging demands. Integrating generative adversarial networks (GANs) and distributionally ro...

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Bibliographic Details
Main Authors: Dong Hua, Peifeng Yan, Suisheng Liu, Qinglin Lin, Peiyi Cui, Qian Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
dynamic charging lanes
electric vehicle charging
power distribution optimization
generative adversarial networks (GAN)
distributionally robust optimization (DRO)
renewable energy integration
Online Access:https://www.mdpi.com/1996-1073/18/2/297
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