Yuning Jiang

Dec 3, 2024 | cell.com | Rajula Elango |Namrata Nilavar |Andrew Li |Daniel Nguyen |Emilie Rass |Erin E. Duffey | +5 more

Aug 25, 2023 | arxiv.org | Junyi Zhai |Yuning Jiang |Yi Guo |Colin Jones

[Submitted on 25 Aug 2023 (v1), last revised 31 Jan 2024 (this version, v2)] Title:Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems Download a PDF of the paper titled Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems, by Xinliang Dai and Junyi Zhai and Yuning Jiang and Yi Guo and Colin N.

Aug 16, 2023 | arxiv.org | Yuning Jiang |Xin Xin Liu |Qing Wang |Ting Wang

With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed to manage the switch between vehicle-to-grid (V2G) and grid-to-vehicle (G2V) modes for EVs. In this context, multi-agent deep reinforcement learning (MADRL) has proven its effectiveness in EV charging control.