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Xin Chen

PhD Candidate in Electrical Engineering

Harvard University

Hi~ I am a third-year Ph.D. candidate in School of Engineering and Applied Sciences (SEAS) at Harvard University, working with Prof. Na Li. I received my double B.S. degrees in engineering physics and economics from Tsinghua University in 2015, and the master degree in electrical engineering from Tsinghua University in 2017.

My research interests lie in learning, optimization, and control of cyber-physical systems, with emphasis applications to power and energy systems. In particular, I am interested in robust optimization, distributed optimization and control, learning for optimal control, and etc. Some concrete projects I have worked on include

  • Online learning and data analysis for demand response programs.
  • Distributed automatic load control for frequency regulation in power systems.
  • Power flexibility aggregation for distribution-tranmission interaction.
  • Service restoration and distributed generation capacity assessment in active distribution systems.

Experience

 
 
 
 
 

Harvard Graduate Consortium Program on Energy and Environment

Harvard University Center for the Environment

Sep 2018 – May 2019 Cambridge MA USA
 
 
 
 
 

PhD in Engineering Sciences

Advisor: Prof. Na Li

School of Engineering and Applied Sciences, Harvard Univeristy

Aug 2017 – Present Cambridge MA USA
 
 
 
 
 
 
 
 
 
 

Bachelor in Economics

School of Economics and Management, Tsinghua Univeristy

Aug 2012 – May 2015 Beijing China
 
 
 
 
 

Bachelor in Engineering

Department of Engineering Physics (Energy Experimental Class), Tsinghua Univeristy

Aug 2011 – May 2015 Beijing China

Publications

Aggregate Power Flexibility in Unbalanced Distribution Systems

IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 258-269, Jan. 2020.

Distributed Automatic Load-Frequency Control with Optimality in Power Systems

2018 IEEE Conference on Control Technology and Applications (Best Student Paper Award Finalist)

Data-driven DG Capacity Assessment Method for Active Distribution Networks

IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3946-3957, Sept. 2017.

Robust Restoration Method for Active Distribution Networks

IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 4005-4015, Sept. 2016.

Selected Awards and Honors

Award of Distinction in Teaching

Best Student Paper Award Finalist (one of two)

Excellent Master Graduate

Outstanding Master Thesis Award

Best Conference Paper Award

1st Prize in National Chemistry Olympiad Competition

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