I am Xiaoyang Wang, currently a PhD student working with Prof. Xin Chen in the ECE department at Texas A&M University. In addition, I am honored to be the recipient of the Hagler Fellowship and am co-advised by Hagler Fellow Prof. Mark O'Malley from Imperial College London. My research focuses on dynamics modeling of large electronic loads, learning-based control and data-driven coordination of large-scale inverter-based resources in power systems. Prior to joining TAMU, I obtained both my bachelor’s and master’s degrees in Electrical Engineering from Xi’an Jiaotong University.
Education
Texas A&M University, PhD student in Electrical Engineering, College Station, TX, USA, 2024 -
Xi'an Jiaotong University, Master in Electrical Engineering, Xi'an, China, 2021 - 2024
Xi'an Jiaotong University, Bachelor in Electrical Engineering, Xi'an, China, 2017 - 2021
News
[6/2026] Thrilled to be awarded the Texas A&M Chevron Energy Graduate Fellowship ($10,000) and honored to serve as a Chevron Energy Graduate Fellow. I am excited for the opportunity to collaborate with Chevron on my research and further advance work in energy systems and power electronics.
[5/2026] Our AI data center electromagnetic transient open-source PSCAD model has been released by ERCOT. The model and technical report can be found here. The model includes UPS modeling, grid-following rectifiers, grid-forming inverters, battery and DC/DC systems, as well as variable-frequency-drive induction motor cooling load modeling.
This is a collaborative project between Texas A&M University and ERCOT, aiming to provide high-fidelity modeling of large-scale power-electronics-based loads. I served as the primary developer and student lead for this project. Based on this project, the Consortium on AI and Large Flexible Load (CALL) Workshop was organized and featured in Texas A&M Engineering News.
[4/2026] Our paper “Distributed Coordination of Grid-Forming and Grid-Following Inverters for Optimal Frequency Control in Power Systems“ has been accepted to IEEE Transactions on Power Systems.
[11/2025] I will give a talk in PNNL E-COMP Seminar .
[11/2025] I will present our research about EMT model of crypto-miner Load, titled “Dynamic Modeling, Model Validation, and Low-Voltage Ride-Through of Crypto Mining Loads,” and dynamic model of AI Data Center, titled "Dynamic Modeling and Grid Integration of AI Data Center Loads" conducted in collaboration with ERCOT, at the Consortium on AI and Large Flexible Load (CALL) Workshop on Nov. 13.
[11/2025] ERCOT’s new press release features the PSCAD EMT dynamic models of large loads (crypto-mining loads) that our team developed in collaboration with ERCOT. The open-source model and technical report are available here now.
[10/2025] I presented our recent work about grid-forming and grid-following inverter control in EPG seminar.
[10/2025] Excited to receive the Hagler Fellowship from Hagler Institute for Advanced Study at Texas A&M University, and to have the opportunity to collaborate with Prof. Mark O'malley.
[7/2025] Very glad to join the IEEE PES General Meeting in Austin! It’s so exciting to see so many friends again — long time no see, I’ve missed you all so much!
[7/2025] Honored to receive the Thomas Powell ’62 Fellowship from the ECE Department at Texas A&M University.