Phuong Nguyen is an assistant professor with the research group Electrical Energy Systems at the TU/e department of Electrical Engineering. His research interests include applications of ICT in smart energy systems, distributed state estimation, control and operation of the power system, distributed and computational intelligence, and applications in the future power delivery system. He is a founder of the digital Power & Energy Systems lab (digi-PES) which aims to enable an energy transition from micro energy grids towards the future integrated energy system. This laboratory environment is a cyber-physical ecosystem for students and researchers to explore innovations in various energy-related aspects of (but not limited to) nano/micro-grids, local energy communities, local flexibility/energy markets, optimal power/energy flow, and congestion management. Hand-in-hand with emerging (big) data and Internet-of-Things (IoT) domains, such research provides a foundation for comprehensive data-driven and inter-dependency models of energy system integration. Website digi-PES: sites.google.com/view/digi-pes/home
Phuong H. Nguyen obtained his Bachelor’s degree in Electrical Engineering from Hanoi University of Science and Technology (Vietnam) in 2002, and his Master's degree from the Asian Institute of Technology (Bangkok, Thailand) in 2004. Until 2006, he worked as a researcher at the Power Engineering Consulting Company No. 1, Electricity of Vietnam. He then started his PhD research at the Electrical Energy Systems research group at Eindhoven University of Technology (TU/e, The Netherlands). In 2010, he obtained his doctorate with his thesis entitled 'Multi-Agent System based Active Distribution Networks'. In 2013, after being employed as a postdoc, he was appointed assistant professor at the same group. He was a Visiting Researcher with the Real-Time Power and Intelligent Systems (RTPIS) Laboratory of Clemson University (USA) in 2012 and 2013.
On the application of Home Energy Management Systems for power grid supportEnergy (2019)
Modeling of distributed energy resources for simulating fault-initiated islanding of microgrids2019 IEEE Milan PowerTech, PowerTech 2019 (2019)
Agile development process and user-centric data driven design for an integrated energy system19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 (2019)
Machine learning for agile and self-adaptive congestion management in active distribution networks19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 (2019)
On-line building energy optimization using deep reinforcement learningIEEE Transactions on Smart Grid (2019)