Research – Profile


  • PI, RMB 300k, Intelligent regional energy system based on distributed control algorithms, funded by NARI State Key Lab Research Fund, 11/2018 – now
  • Co-PI, USD 112k, The technical pathways toward a reliable carbon-free energy system, funded by Harvard Provost Office, 2018 – now
  • Major participant, USD 200k, Simulation-based integrated energy system planning, collaborative research projects between NARI and Harvard University, 2017 – now
  • Co-PI, USD 260k, Optimal bidding and assets allocation strategy for generation companies, a collaborative research project between SAC-ABB and Harvard University, 2016 – now
  • Major participant, The analysis of residential demand response behavior, collaborative research project among ThinkEco, ComEd, and Harvard University, 2016 – now
  • Major participant, Implementation of a wireless sensing system for smart pumping control, funded by Oak Ridge National Laboratory, USA, 2015
  • Major participant, USD 318k, Ensuring security and reducing price volatility of power systems with extensive controllable load, funded by Department of Energy, USA, 2010 – 2014
  • Major participant, Controllable load for smart grid applications, funded by Electric Power Research Institute, USA, 2010 – 2011
  • PI, RMB 30k, The design and research of the platform for the wheeled educational robot, funded by the Ministry of Education of China, 2007 – 2010

Publication List (incomplete)

*The complete list will be available soon.


  • Q. Hu, N. Li, “Residential Demand Response using Multiarmed Bandit Mechanism”, working paper, 2018.
  • X. Fang, Q. Hu, B. Hodge, R. Bo, F. Li, “Capacity Market Model Considering Flexible Resource Requirements with Renewables,” IEEE Transactions on Power Systems, under review, 2018.
  • Q. Hu, C. Zhang, “Human Circadian Rhythm Detection Using Electrical Grid,” IEEE Transactions on Power Systems, under review, 2018.
  • Q. Hu, X. Chen, L. Bai, F. Li, Q. Wu, “The Impact of Solar Eclipse on the Voltage Regulation in Distribution Systems with High Penetration of Roof-top Photovoltaic,” IEEE Transactions on Power Systems, under review, 2018.
  • R. Li, W. Wei, S. Mei, Q. Hu, Q. Wu, “Participation of an Energy Hub in Electricity and Heat Distribution Markets: An MPEC Approach,” IEEE Transactions on Smart Grid, under review, 2018.
  • X. Zhu, C. Chen, X. Xu, Q. Hu, “Promoting Acceptance of Direct Load Control Programs in the United States: Financial Incentive versus Control Option Energy,” Energy, accepted, 2018.
  • Q. Hu, F. Li, X. Fang, L. Bai, “A framework of residential demand aggregation with financial incentives,” IEEE Transactions on Smart Grid, vol. 9, no. 1, pp. 497-505, 2018. [ pdf ]  [ link ]  [ BibTeX ]
  • Q. Shi, F. Li, Q. Hu, Z. Wang, “Dynamic demand control for system frequency regulation: Concept review, algorithm comparison, and future vision,” Electric Power Systems Research, vol. 154, pp. 75-87, 2018. [ pdf ]  [ link ]  [ BibTeX ]
  • J. Xu, Z. Wu, X. Yu, Q. Hu, et al., “A new method for optimal FTU placement in distribution network under consideration of power service reliability,” Science China Technological Sciences, pp. 1-12, 2017. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Li, F. Li, H. Yuan, H. Cui, Q. Hu, “GPU-based fast decoupled power flow with preconditioned iterative solver and inexact newton method,” IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 2695-2703, 2017. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Fang, Q. Hu, F. Li, et al., “Coupon-based demand response considering wind power uncertainty: A strategic bidding model for load serving entities,” IEEE Transactions on Power Systems, vol. 31, no.2, pp. 1025–1037, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • H. Cui , F. Li, Q. Hu, X. Fang, L. Bai, “Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants,” Applied Energy, vol. 176, pp. 183-195, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Fang, F. Li, Q. Hu, Y. Wei, “Strategic CBDR bidding considering FTR and wind power,” IET Generation, Transmission & Distribution, vol. 10, no. 10, pp. 2464-2474, 2016. [ pdf ]  [ link ]   [ BibTeX ]
  • X. Kong, L. Bai, Q. Hu, F. Li, C. Wang, “Day-ahead optimal scheduling method for grid-connected microgrid based on energy storage control strategy,” Journal of Modern Power Systems and Clean Energy, vol. 4, no. 4, pp. 648-658, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • Q. Hu, F. Li, C. Chen, “A smart home test bed for undergraduate education to bridge the curriculum gap from traditional power systems to modernized smart grids,” IEEE Transactions on Education, vol. 58, no. 1, pp. 32-38, 2015. [ pdf ]  [ link ]   [ BibTeX ]
  • Q. Hu, F. Li, “Hardware design of smart home energy management system with dynamic price response,” IEEE Transactions on Smart Grid, vol. 4, no. 4, pp. 1878–1887, 2013. [ pdf ]  [ link ]  [ BibTeX ]
  • Y. Xu, Q. Hu, F. Li, “Probabilistic Model of Payment Cost Minimization Considering Wind Power and Its Uncertainty,” IEEE Transactions on Sustainable Energy, vol. 4, no. 3, pp. 716–724, 2013. [ pdf ]  [ link ]  [ BibTeX ]


  • Q. Hu, S. Yang, et al “Anomaly Detection of Demand Response Surveys Adopting Local Outlier Factor,” 1The 7th International Conference on Renewable Power Generation (RPG), accepted
  • X. Zhang, W. Shi, Q. Hu, B. Yan, A. Malkawi, N. Li, “Distributed Temperature Control via Geothermal Heat Pump Systems in Energy Efficient Buildings,” American Control Conference (ACC), 2017. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Fang, F. Li, H. Cui, L. Bai, H. Yuan, Q. Hu, B. Wang, “Risk Constrained Scheduling of Energy Storage for Load Serving Entities Considering Load and LMP Uncertainties,” IFAC-PapersOnLine, vol. 49, no. 27, pp. 318-323, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • L. Bai, F. Li, Q. Hu, H. Cui, X. Fang, “Application of battery-supercapacitor energy storage system for smoothing wind power output: An optimal coordinated control strategy,” IEEE Power & Energy Society (PES) General Meeting, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • H. Yuan, X. Li, F. Li, X. Fang, H, Cui, Q. Hu, “Mitigate overestimation of voltage stability margin by coupled single-port circuit models,” IEEE Power & Energy Society (PES) General Meeting, 2016. [ pdf ]  [ link ]  [ BibTeX ]
  • L. Bai, F. Li, Q. Hu, T. Ding, H. Sun, “Robust mean-variance optimization model for grid-connected microgrids,” IEEE Power & Energy Society (PES) General Meeting, 2015. [ pdf ]  [ link ]   [ BibTeX ]
  • Q. Hu, X. Fang, F. Li, X. Xu, C. Chen, “An approach to assess the responsive residential demand to financial incentives,” IEEE Power & Energy Society (PES) General Meeting, 2015. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Fang, F. Li, Q. Hu, N. Gao, “System load margin evaluation using mixed-integer conic optimization,” North American Power Symposium (NAPS), 2015. [ pdf ]  [ link ]  [ BibTeX ]
  • X. Fang, F. Li, Q. Hu, Y. Wei, N. Gao, “The impact of FTR on LSE’s strategic bidding considering coupon based demand response,” IEEE Power & Energy Society (PES) General Meeting, 2015. [ pdf ]  [ link ]  [ BibTeX ]
  • Q. Hu, J. Chan, F. Li, D. Chen, “A comprehensive user interactive simulation tool for smart home application,” Australasian Universities Power Engineering Conference (AUPEC), 2014. [ pdf ]  [ link ]  [ BibTeX ]
  • S. Adhikari, F. Li, Q. Hu, Z. Wang, “Heuristic optimal restoration based on constructive algorithms for future smart grids,” 16th International Conference on Intelligent System Application to Power Systems (ISAP), pp. 1-6, 2011. [ pdf ]  [ link ]  [ BibTeX ]

Book Chapter

  • F. Li, P. Zhang, S. Adhikari, Y. Wei, Q. Hu, “Chapter 18: Vision of Future Control Centers in Smart Grids,” Smart Grids: Clouds, Communications, Open Source, and Automation, page 421, 2014, CRC Press. [ pdf ]  [ BibTeX ]