Prof Jingjing Huang

Prof. Jingjing Huang                   

Professor

Xi’an Jiaotong University
 
Biography
Jingjing Huang (Senior Member, IEEE) received the B.S. degree in electrical engineering from the Henan University of Science and Technology, Luoyang, China, in 2008, and the Ph.D. degree in electrical engineering from Xi'an Jiaotong University, Xi'an, China, in 2014. From 2014 to 2016, she was a Full-Time Lecturer with the Xi'an University of Technology, Xi'an. From 2016 to 2019, she was a Full-Time Postdoctoral Research Fellow with Nanyang Technological University, Singapore. Since 2020, she has been with the School of Automation Science and Engineering, Xi'an Jiaotong University, where she is currently a Professor.

Her research interests include renewable energy systems, high-frequency transformer, hybrid ac/dc microgrid, and cyber-physical-integrated energy system. She is a recipient of the National-Level Youth Talent Programs and the CAA Natural Science Award 2023.

Title
Coordinated Control Strategy and Its Application for Hydrogen-Integrated Microgrid under Cyber-Physical Integration

Abstract
As the world moves toward carbon peaking and carbon neutrality, AC/DC hybrid microgrids are gaining attention for their ability to efficiently integrate renewable energy, support local consumption, and enable flexible energy dispatch. Hydrogen energy, with its low-carbon nature, long-duration storage, and suitability for long-distance transport, is increasingly seen as a valuable and controllable energy source in microgrids. However, due to the variety of energy types and different dynamic behaviors, hydrogen-integrated microgrids face major technical challenges in coordinated control and real-time scheduling. To address these challenges, our team is working on a project at the Zero-Carbon Distributed Smart Energy Center in Yulin, Shaanxi. The focus is on hydrogen-integrated AC/DC hybrid microgrids, using the concept of cyber-physical system (CPS) integration to develop coordinated operation control strategies. We first designed the system’s structure and built mathematical models for key power electronic components such as PV DC/DC converters, fuel cell DC/DC converters, and AC/DC converters. Based on this, we developed a control strategy that tackles common issues like PV power fluctuations, hydrogen response delays, and load changes. The strategy combines centralized and distributed control, with “source-follow-load” and “anti-reverse power flow” as key principles. It shows strong dynamic performance and can keep the system stable even under large disturbances. Finally, using CPS technologies, we created a hybrid control system that includes a local centralized control system (C/S architecture) and a remote monitoring platform (B/S architecture). This setup supports the practical deployment and testing of the proposed strategy. Experimental results show that the system performs well under major load fluctuations, ensuring safe and stable operation.