PHD at Hong Kong Polytechnic University, China
Xu Xu is an Assistant Professor at Xi’an Jiaotong-Liverpool University’s Department of Electrical and Electronic Engineering, School of Advanced Technology. With a PhD from Hong Kong Polytechnic University, his expertise lies in power system optimization, renewable energy integration, and the application of artificial intelligence in smart grids. Xu has garnered recognition for his work, including awards like Best Oral Presentation at the 3rd International Conference on Power and Electrical Engineering. He actively contributes to academic service, serving on committees such as the IEEE IAS Industrial and Commercial Power System Asia Technical Program Committee.
Professional Profiles
Education
Hong Kong Polytechnic University Hong Kong SAR PhD in Electrical Engineering 2016/09-2019/09
Work Experience
Xi’an Jiaotong-Liverpool University Suzhou, China Assistant Professor in Department of Electrical and Electronic Engineering, School of Advanced Technology 2022/04-Present Nanyang Technological University Singapore Research Fellow in Rolls-Royce@NTU Corporate Laboratory with School of Electrical and Electronic Engineering 2021/01-2022/02 University of Hong Kong Hong Kong SAR Research Assistant I in Department of Electrical and Electronic Engineering 2020/09-2020/12 Hong Kong Polytechnic University Hong Kong SAR Postdoctoral Fellow in Department of Electrical Engineering 2019/10-2020/09
Research Interests
Power system optimization, Renewable energy generation and integration, Application of artificial intelligence in smart grids.
Academic Services
Technical Program Committee Member, 2021 IEEE IAS Industrial and Commercial Power System Asia Technical Program Committee, Session Chair in Topic of Power System Planning, 2020 IEEE IAS Industrial and Commercial Power System Asia Technical Program Committee
Research Focus
Xu Xu’s research focuses on advancing home energy management through innovative methods such as multi-agent reinforcement learning. His work, published in prestigious journals like IEEE Transactions on Smart Grid and Applied Energy, explores optimizing photovoltaic hosting capacity and integrating renewable energy sources into distribution networks. Additionally, he investigates game-theoretic approaches for residential PV panel planning and develops data-driven strategies for electricity trading and energy sharing mechanisms in residential clusters. Xu Xu’s interdisciplinary approach combines expertise in electrical engineering, renewable energy, and artificial intelligence to address challenges in sustainable energy systems, making significant contributions to the field of smart grids and energy management.
Publications
- Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilization, Publication date: 2024.
- Cooperative multi-agent deep reinforcement learning based decentralized framework for dynamic renewable hosting capacity assessment in distribution grids, Publication date: 2023.
- Generative adversarial network assisted stochastic photovoltaic system planning considering coordinated multi-timescale volt-var optimization in distribution grids, Publication date: 2023.
- Robust proactive power smoothing control of PV systems based on deep reinforcement learning, Publication date: 2023.
- Autonomous input voltage sharing control and triple phase shift modulation method for ISOP-DAB converter in DC microgrid: A multiagent deep reinforcement learning-based method. Publication date: 2022.
- Coordinated current and voltage unbalance mitigation in networked microgrids with aggregated PV systems, Publication date: 2022.
- Collaborative Control Framework of Multiple Electric Springs for Frequency Stabilization and Distribution Loss Reduction in Microgrids, Publication date: 2022.
- Adaptive Distributed Graph Model for Multiple-Line Outage Identification in Large-Scale Power System, Publication date: 2022.
- Optimal Unified Power Flow Controller Planning in Transmission Grids with Uncertainty Consideration, Publication date: 2020.
- Data-driven-based dynamic pricing method for sharing rooftop photovoltaic energy in a single apartment building, Publication date: 2020.
.