Dear friend, please visit my Personal Webpage at University of Macau.
I will not update this website timely from May 2020.

Research Interests

Our group's research interests span the areas of operational research, electrical, thermal and transportation engineering. Our vision is to develop cutting-edge theories and technologies (majorly based on optimization, data analytics and machine learning) to help policy makers, practitioners and energy proconsumers to make "smart decisions" in building and managing their energy systems.

Currently, we've been focusing on power and transportation nexus, distributed energy resources, integrated energy system, and internet of things for smart energy.

Find our full publication list on: Google Scholar, Research Gate, WOS Publons.


Book Chapters

  1. Z. Hu, Y. Song, and H. Zhang, "Electric vehicle and vehicle-to-grid technology," Energy Internet, Edited by H. Sun et. al., China Science Publishing, Beijing, 2020. (in Chinese)
  2. Z. Hu, J. He, and H. Zhang, "Energy Internet and Plug-in Electric Vehicles," Development of Energy Internet, Edited by R. Zeng et. al., Tsinghua University Press, Beijing, 2017. (in Chinese)

Journal Papers

Accepted or Published

    Early Access

  1. Y. Zhao, Y. Guo, Q. Guo, H. Zhang and H. Sun, "Deployment of the Electric Vehicle Charging Station Considering Existing Competitors," to appear in IEEE Transactions on Smart Grid, 2020. DOI:10.1109/TSG.2020.2991232
  2. H. Zhang, Z. Hu, and Y. Song, "Power and Transport Nexus: Routing PEVs to Promote Renewable Generation Integration," to appear in IEEE Transactions on Smart Grid, 2020. DOI: 10.1109/TSG.2020.2967082
  3. H. Zhang, C. J. R. Sheppard, T. E. Lipman, and S. J. Moura, "Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles," to appear in IEEE Transactions on Intelligent Transportation Systems, 2019. DOI: 10.1109/TITS.2019.2946152
  4. J. Li, J. Lin, H. Zhang, Y. Song, G. Chen, and L. Ding, "Optimal Investment of Electrolyzers and Seasonal Storages in Hydrogen Supply Chains Incorporated with Renewable Electric Networks," to appear in IEEE Transactions on Sustainable Energy, 2019. DOI: 10.1109/TSTE.2019.2940604

    5. Year 2020

  5. T. Ahmad, C. Huanxin, D. Zhang, and H. Zhang, “Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions,” Energy, vol. 198, p. 117283, 2020. DOI: 10.1016/j.energy.2020.117283
  6. T. Zeng, H. Zhang, and S. J. Moura, "Solving Overstay and Stochasticity in PEV Charging Station Planning with Real Data," in IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3504-3514, May 2020. DOI: 10.1109/TII.2019.2955997
  7. T. Ahmad, H. Zhang, B. Yan, "A review on renewable energy and electricity requirement forecasting models for smart grid and buildings," Sustainable Cities and Society, vol. 55, no. April 2019, p. 102052, 2020. DOI: 10.1016/j.scs.2020.102052
  8. H. Zhang, C. J. R. Sheppard, T. E. Lipman, T. Zeng, and S. J. Moura, "Charging Infrastructure Demands of Shared-Use Autonomous Electric Vehicles in Urban Areas," Transportation Research Part D: Transport and Environment, vol. 78, p. 102210, 2020. DOI: 10.1016/j.trd.2019.102210

    9. Year 2019

  9. Z. Lin, Z. Hu, H. Zhang, and Y. Song, "Optimal ESS allocation in distribution network using accelerated generalized Benders decomposition," IET Generation, Transmission & Distribution, vol. 13, no. 13, pp. 2738-2746, 2019. DOI: 10.1049/iet-gtd.2018.5863
  10. H. Luo, Z. Hu, H. Zhang, and H. Chen, "Coordinated Active Power Control Strategy for Deloaded Wind Turbines to Improve Regulation Performance in AGC," IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 98-108, 2019. DOI: 10.1109/TPWRS.2018.2867232
  11. B. Zhao, Z. Hu, Q. Zhou, H. Zhang, and Y. Song, "Optimal transmission switching to eliminate voltage violations during light-load periods using decomposition approach," Journal of Modern Power Systems and Clean Energy, vol. 7, no. 2, pp.297-308, 2019. DOI: 10.1007/s40565-018-0422-4
  12. H. Zhang, Z. Hu, E. Munsing, S. J. Moura, and Y. Song, "Data-driven Chance-constrained Regulation Capacity Offering for Distributed Energy Resources," IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 2713-2725, 2019. DOI:10.1109/TSG.2018.2809046
  13. H. Chen, Z. Hu, H. Luo, J. Qin, R. Rajagopal, and H. Zhang, "Design and Planning of a Multiple-charger Multiple-port Charging System for PEV Charging Station," IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 173-183, 2019. DOI: 10.1109/TSG.2017.2735636

    14. Year 2018

  14. X. Chen, H. Zhang, Z. Xu, C. P. Nielsen, M. B. McElroy, and J. Lv, "Impacts of Fleet Types and Charging Modes for Electric Vehicles on Emissions under Different Penetrations of Wind Power," Nature Energy, vol. 3, pp. 413-421, 2018. DOI: 10.1038/s41560-018-0133-0 (equal contribution)
  15. H. Zhang, S. J. Moura, Z. Hu, W. Qi, and Y. Song, "Joint PEV Charging Network and Distributed PV Generation Planning Based on Accelerated Generalized Benders Decomposition," IEEE Transactions on Transportation Electrification, vol. 4, no. 3, pp. 789-803, 2018. DOI: 10.1109/TTE.2018.2847244
  16. H. Chen, Z. Hu, H. Zhang and H. Luo, "Coordinated Charging and Discharging Strategies for Plug-in Electric Bus Fast Charging Station with Energy Storage System." IET Generation, Transmission & Distribution, vol. 12, no. 9, pp. 2019-2028, 2018. DOI: 10.1049/iet-gtd.2017.0636
  17. H. Zhang, S. J. Moura, Z. Hu, W. Qi, and Y. Song, "A Second Order Cone Programming Model for Planning PEV Fast-Charging Stations," IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2763-2777, 2018. DOI: 10.1109/TPWRS.2017.2754940
  18. H. Zhang, S. J. Moura, Z. Hu, and Y. Song, "PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks," IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 2595-2605, 2018. DOI: 10.1109/TSG.2016.2614939

    19. Year 2017

  19. W. Qi, B. Shen, H. Zhang, and Z. M. Shen, "Sharing Demand-Side Energy Resources - A Conceptual Design," Energy, vol. 135, pp. 455-465, 2017. DOI: 10.1016/j.energy.2017.06.144
  20. H. Zhang, Z. Hu, Z. Xu, and Y. Song, "Optimal Planning of PEV Charging Station with Single Output Multiple Cables Charging Spots," IEEE Transactions on Smart Grid, vol. 8, no. 5, pp. 2119-2128, 2017. DOI: 10.1109/TSG.2016.2517026
  21. H. Zhang, Z. Hu, Z. Xu, and Y. Song, "Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model," IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 784-794, 2017. DOI: 10.1109/TPWRS.2016.2561296

    22. Year 2016 and before

  22. Z. Hu, K. Zhan, H. Zhang, and Y. Song, "Pricing Mechanisms Design for Guiding Electric Vehicle Charging to Fill Load Valley," Applied Energy, vol. 178, pp. 155-163, 2016. DOI: 10.1016/j.apenergy.2016.06.025
  23. H. Zhang, Z. Hu, Z. Xu, and Y. Song, "An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area," IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 2273-2284, 2016. DOI: 10.1109/TSG.2015.2436069
  24. Z. Xu, W. Su, Z. Hu, Y. Song, H. Zhang, "A Hierarchical Framework for Coordinated Charging of Plug-in Electric Vehicles in China," IEEE Transactions on Smart Grid, vol. 7, no. 1, pp. 428-438, 2016. DOI: 10.1109/TSG.2014.2387436
  25. K. Zhan, Z. Hu, Y. Song, Z. Xu, L. Jia, H. Zhang, "A Coordinated Charging Strategy for Electric Vehicle Three-phase Load Balance," Automation of Electric Power Systems, vol. 39, no. 17, pp. 201-207, 2015. DOI: 10.7500/AEPS20150402012 (in Chinese)
  26. Y. Guo, Z. Hu, H. Zhang, W. Su, K. Zhan, Z. Xu, "A Statistical Method to Evaluate the Capability of Residential Distribution Network for Accommodating Electric Vehicle Charging Load," Power System Technology, vol. 39, no. 9, pp. 2458-246, 2015. DOI: 10.13335/j.1000-3673.pst.2015.09.013 (in Chinese)
  27. Z. Hu, K. Zhan, Z. Xu, D. Xiang, H. Zhang, "Analysis and Outlook on the Key Problems of Electric Vehicle and Power Grid Interaction," Electric Power Construction, vol. 36, no. 7, pp. 6-13, 2015. DOI: 10.3969/j.issn.1000-7229.2015.07.001 (in Chinese)
  28. H. Luo, Z. Hu, H. Zhang, "Effect Analysis of Ambient Temperature on Electric Vehicle Charging Load," Electric Power Construction, vol. 36, no. 7, pp.69-74, 2015. DOI: 10.3969/j.issn.1000-7229.2015.07.009 (in Chinese)
  29. Y. Zhang, W. Zhao, Y. Xiao, G. Lin, X. Chen, Z. Hu, H. Zhang, Z. Xu, "A Hierarchical Architecture Based Simulation Platform for Coordinated Charging of Large-Scale Electric Vehicles," Power System Technology, vol. 39, no. 1, pp. 55-62, 2015. DOI: 10.13335/j.1000-3673.pst.2015.01.009 (in Chinese)
  30. Z. Xu, Z. Hu, Y. Song, H. Zhang, X. Chen, "Coordinated Charging Strategy for PEV Charging Stations Based on Dynamic Time-of-use Tariffs," Proceedings of the CSEE, vol. 33, no. 22, pp. 3638-3646, 2014. DOI: 10.13334/j.0258-8013.pcsee.2014.22.008 (in Chinese)
  31. H. Zhang, Z. Hu, Y. Song, Z. Xu, L. Jia, "A Prediction Method for Electric Vehicle Charging Load Considering Spatial and Temporal Distribution," Automation and Electric Power Systems, vol. 38, no. 1, pp. 13-20, 2014. DOI: 10.7500/AEPS20130613009 (in Chinese)

Conference Papers

Accepted or Published

  1. Z. Zhou, S. Moura, H. Zhang, X. Zhang, Q. Guo, H. Sun, "A Game-Theoretic Approach to Analyzing Equilibria in Coupled Power and Transportation Networks," IEEE PES Gen. Meeting 2019, Atlanta, GA, 2019, pp. 1-5. DOI: 10.1109/PESGM40551.2019.8974036
  2. H. Zhang, S. J. Moura, Z. Hu, W. Qi, and Y. Song, "Joint PEV Charging Station and Distributed PV Generation Planning," IEEE PES Gen. Meeting 2017, Chicago, IL, 2017, pp. 1-5. DOI: 10.1109/PESGM.2017.8274111
  3. H. Zhang, W. Qi, Z. Hu, and Y. Song, "Planning Hydrogen Refueling Stations with Coordinated On-Site Electrolytic Production," IEEE PES Gen. Meeting 2017, Chicago, IL, 2017, pp. 1-5. DOI: 10.1109/PESGM.2017.8274203
  4. S. Bae, H. Zhang, D. Wang, C. Sheppard, and S. Saxena, "Optimal Bidding Strategy for V2G Regulation Services under Uncertainty," IEEE PES Gen. Meeting 2017, Chicago, IL, 2017, pp. 1-5. DOI: 10.1109/PESGM.2017.8274706
  5. H. Zhang, Z. Hu, S. J. Moura, Y. Song, "Coordination of V2G and Distributed Wind Power Using the Storage-like Aggregate PEV Model," 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Minneapolis, MN, 2016, pp. 1-5. DOI: 10.1109/ISGT.2016.7781246
  6. H. Zhang, W. Tang, Z. Hu, Y. Song, Z. Xu, L. Wang, "A Method for Forecasting the Spatial and Temporal Distribution of PEV Charging Load," 2014 IEEE PES General Meeting - Conference & Exposition, National Harbor, MD, 2014, pp. 1-5. DOI: 10.1109/PESGM.2014.6939167

Talks

Date Title Location
July 2019 Autonomous electric vehicle fleet sizing for mobility on demand systems Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China
July 2018 Harness EVs as flexibility sources to power grids Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China
Oct 2018 Data-driven approach to harnessing flexibility of large-scale distributed energy resources for power grids 2018 CROSS SYMPOSIUM & OKTOBERFEST, UC Santa Cruz, USA
July 2018 Harness EVs as flexibility sources to power grids Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China
Nov. 2017 Harness EVs as flexibility sources to power grids and an introduction to SGOOL's research on EV SGOOL, Tsinghua, China
March 2018 Harness EVs as flexibility sources to power grids eCAL, UC Berkeley, USA
June 2017 EVs in Energy Internet British Petroleum, Beijing, China
May 2017 THU-IET Forum on Electrical Engineering: Regulation services with distributed energy resources Tsinghua Univ., Beijing, China
May 2017 Tutorial on "Duality Theory and Its Applications" SGOOL, Tsinghua, China
April 2017 Tutorial on "Optimal Power Flow and Its Conic Relaxation" SGOOL, Tsinghua, China
Jan. 2017 PEV Charging Network Planning on Coupled Transportation and Power Networks Haining, Zhejiang Univ., China
Oct. 2016 PEV Charging Network Planning on Coupled Transportation and Power Networks eCAL, Davis Hall, UC Berkeley, USA
Apr. 2016 Plug-in Electric Vehicle Charging Demand Forecasting, Modeling and Facility Planning China Energy Group, Lawrence Berkeley National Laboratory, USA
Feb. 2016 Plug-in Electric Vehicle Charging Demand Forecasting, Modeling and Facility Planning V2G-Sim Team, Lawrence Berkeley National Laboratory, USA
Feb. 2016 Plug-in Electric Vehicle Charging Demand Forecasting, Modeling and Facility Planning eCAL, Davis Hall, UC Berkeley, USA
Jan. 2016 Utilization of Grid-scale Vehicle-to-Grid Flexibility Using Aggregate PEV Model eCAL & Bosch LLC, Davis Hall, UC Berkeley, USA