Employments Contact US SCUT

Chen Haoyong

Time:2015-08-06

Haoyong Chen, Ph. D., Professor, IEEE Senior Member

Department of Electrical EngineeringTel:    +86-13826100525

South China University of TechnologyFax:    +86-20-22236672

Guangzhou, Guangdong, 510641                           E-mail: eehychen@scut.edu.cn

China

直线 2

HIGHLIGHT

  • An influential professor of electrical engineering (in both academia and industry) in China

  • 23 years’ research and teaching experience as a university faculty member of electrical engineering

  • Director of Institute of Power Economics and Electricity Markets, South China Univ. of Technology, Guangzhou, China

  • Chief Scientist of Asia-Pacific Research Institute of Smart Grid and Renewable Energy (Hong Kong)

  • Founder of Universal & Prudential Think Tank for Power and Energy (Guang Dong, China)

  • Principal of many key national projects of China

  • Close connections with Chinese power industry

EDUCATION

1997-2000Ph.D. in Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

1995-1997M.S.E. in Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

1991-1995B.S. in Electrical Engineering, with the highest honor, Xi’an Jiaotong University, Xi’an, Shaanxi, China

1990-1991Admitted to and studied in Highly-gifted Class at age of 15, Xi’an Jiaotong University, 1990

PROFESSIONAL EXPERIENCE

12/2008 – PresentProfessor, Department of Electrical Engineering, South China University of Technology, Guangzhou(Canton), Guangdong, China

12/2006 – 12/2008Associate Professor and Outstanding Young Scholar of South China University of Technology, Guangzhou (Canton), Guangdong, China

6/2003 – 12/2006Associate Professor, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

6/2000 – 6/2003Assistant Professor, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

3/2015–6/2016Visiting Professor, Olin Business School, Washington University in St. Louis, Saint Louis, MO, USA

12/2012 – 1/2013Visiting Professor, Department of Electrical Engineering, Columbia University, New York City, USA

2/2007 – 5/2007Visiting Assistant Professor, Computational Intelligence Applications Research Laboratory, Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

KEY RESEARCH AREAS

  • Complex Power and Energy Systems

Prof. Chen is a pioneer in the study of complex power and energy systems by using multidisciplinary approaches from power systems, power electronics, thermal power, optimization and control, information and communication, economics and management science, and artificial intelligence, etc. He has achieved original innovations in theories and approaches of modeling, analysis, optimization and control of such systems, with special emphases on engineering applications (Fig. 1). In recent years, he has undertaken more than 10 national key projects, published more than 300 papers and holds more than 20 national invention patents of China. He first presented the cooperative co-evolutionary algorithm for power system unit commitment, which was developed into an important approach for power system operation, planning, control and electricity market simulation. Prof. Chen has long been devoted to research of electricity pricing theory and electricity market design based on mathematical optimization, game theory, swarm intelligence and experimental economics. His innovative electricity pricing theory can shed new light on the design of electricity markets especially in the context of the energy transition. Prof. Chen is also the first one carrying out electricity market studies with experimental economics. He actively participates in policy discussions in China’s electricity market reform and has significant influence on government decision. Prof. Chen’s theories also provide important implications for the solution of the current European energy crisis. He established the fundamental theory of energy networks with different energy forms, which lays a foundation for planning and operation of integrated energy systems. He also has original contributions in the information processing of the power/energy IoT. These innovative interdisciplinary theories and technologies are concentratively reflected in the design and development of (Guangzhou) Virtual Power Plants.

Fig. 1 Key Research Areas

[The Nobel Prize in Physics 2021 was awarded “for groundbreaking contributions to our understanding of complex systems”. This makes the theoretical study of complex systems merge into the mainstream science. Prof. Chen, as a pioneer, has long been engaged in research and application of theories and methods of modeling, analysis, optimization and control of complex power/energy systems. Some approaches developed by him, such as the cooperative co-evolutionary algorithm, has been testified over a long period of time in effectiveness and advantages.

As an output of the combination of power systems, microeconomics and mathematical optimization, Prof. Chen’s electricity pricing theory, including that based on the continuous-time commodity model of electricity recently proposed, is crucial for electricity market design, especially in the context of fast development of renewable energy, sharp increase in the requirement of flexibility and global energy crisis. Under his appeal, electricity price reform has become a key task in the current reform of China's energy sector. Prof. Chen’s research achievements on electricity market simulation have been widely cited and applied to the development of electricity market simulation systems in China. The new electricity market design and pricing schemes proposed by Prof. Chen have been adopted in over 10 provinces. The most authoritative media of China’s power & energy industry - China Energy News has published a series of his papers on electricity market reform, which have influence on the public opinions and Chinese government decision.

Prof. Chen’s other theoretical research achievements have also contributed to the development of the power/energy area. For example, the energy network theory for unified modeling of multiple energy forms originally proposed by Prof. Chen receives extensive attention and further development in the academia and industry.]

  • New Energy Power Systems

As the chief scientist of National-Local Joint Engineering Laboratory for Wind Power Control and Integration Technology and Guangdong Key Laboratory of Clean Energy Technology, Prof. Chen not only devotes to the research on basic theories of planning, operation, control and markets/pricing of renewable energy power systems, but also leads a R&D team consists of researchers from different areas such as power systems, power electronics and automation, etc. to develop new technologies and products. He proposed the models and approaches for robust scheduling/dispatch based on the key concept of “extreme scenario” and extended the methods to robust transmission planning. He proposed the concept and theory of cooperative control to solve the dynamic coordination problem of multiple intelligent controllers (especially frequency controllers), which have been successfully applied to the world’s first AC power grid breakup engineering in China Southern Power Grid (https://spectrum.ieee.org/energy/the-smarter-grid/why-southern-china-broke-up-its-power-grid?from=timeline). He led the development of the first multiple-time-frame robust scheduling/dispatch system and applied it to the national Smart Grid demonstration base on the Hainan island (http://www.chinadaily.com.cn/a/202104/20/WS607e43f7a31024ad0bab6b20.html). Now his scheduling/dispatch theories and approaches have been applied to the whole China Southern Power Grid and other power grids to accommodate more renewable energy. He also proposed newmethods for solving interval power flow problem, whose demand load and renewable energy power generation are regarded as interval uncertainties. Then based on them the interval Volt/Var control of power systems under interval uncertainty with significant intermittent power penetration is further proposed. He proposed new electricity pricing scheme and market design for power systems with high shares of variable renewable energy. He has been leading a R&D team focusing on renewable energy generation control and other digital products for the power/energy industry for over 10 years. New technologies and products have been developed and applied in more than than 20 provinces in China and export to Southeast Asian countries.

[The models and methods on renewable energy power systems developed recently, such as robust scheduling and cooperative control, have attracted widespread attention and been cited and advanced. His research work was broadcast on CCTV-10 (the national broadcaster of China) in the New Energy Power program (August 7 and 8, 2019). The links are as follows:

https://tv.cctv.com/2019/08/07/VIDE81bWMzJ8EuWO348uhSJc190807.shtml

https://tv.cctv.com/2019/08/08/VIDEFt99aDQTeHnaXnBVqfvt190808.shtml

Besides this, he has been devoting to teaching and is especially well-known in electricity market and renewable energy education. He was invited to participate in a series of online or TV lectures, and more than 1 million people have attended his lectures.

Based on the original innovation and theoretical breakthroughs, Prof. Chen has been leading a R&D team focusing on the needs of national energy transition and development of Guangdong-Hong Kong-Macao Greater Bay Area. In recent years, he has undertaken a number of national and provincial key projects, such as the Key Project of National Natural Science Foundation, National Funds for Excellent Young Scientists, Key Project of Chinese National Programs for Fundamental Research and Development, Key Project of National High Technology Research and Development, National Natural Science Foundation, Science and Technology Planning Project of Guangdong Province, Key Breakthrough Project of Guangdong Province and Hongkong, Science and Technology Project of China Southern Power Grid Co. (CSG), etc. Technologies and products including main control system of wind turbine, wind/solar power prediction systems, multiple-time-frame robust scheduling/dispatch system, intelligent condition monitoring/ maintenance system of wind farms, microgrid central controller and energy management system have been developed and applied in more than than 20 provinces in China and export to Southeast Asian countries.]

RECENT RESEARCH GRANTS (funding inmillion RMB)

  • 2022.11-2026.10, Key Technologies on Intelligent Dispatch of Power Grid Under 20% New Energy Integration Scenario（National Key Research and Development Program of China No.2022YFB2403500, 5.36M）

  • 2020.01-2024.12, Research on Dynamic Model and Planning/Operation Theories of Integrated Energy Systems (National Natural Science Foundation of China No. 51937005, 3M)

  • 2016.07-2020.12, Basic Theory of Power System Planning and Operation with High Penetration of Renewable Energy (National Key Research and Development Program of China No. 2016YFB0900100, 1.4M)

  • 2012.01-2015.12, Research on Optimal Coordinated Voltage Control (OCVC) of Power Systems Based on Differential Game Theory (National Natural Science Foundation of China No. 51177049,0.58M)

  • 2012.01-2014.12, Key Technologies for Integration of Multi-Type New Energy Sources (National High Technology Research and Development Program of China No. 2012AA050201,1.03M)

  • 2012.04-2013.12, Theory and Methods of Power System Robust Scheduling with a High Penetration of Intermittent Energy Sources (China National Funds for Excellent Young Scientists No. 51322702, 1.75M)

  • 2009.01-2011.12, Optimal Scheduling of Power Systems with Significant Wind Power Penetration (Program of New Century Excellent Talents in University of China No. NCET080207, 0.2M)

  • 2009.12-2010.06, Integrated Simulation System of Northwest Electricity Market (Key Project of Northwest Power Grid Co. Ltd. ,0.75M)

  • 2008.01-2010.12, Models and Algorithms of Security Constrained Unit Commitment in Power Systems with Large-scale Wind Farms (Key Project of Chinese Ministry of Education No. 109128,0.1M)

  • 2004.07-2011.03, Experimental Research of Electricity Market Auction Mechanism (National Social Science Foundation of China No. 04CJL012,0.055M)

  • 2003.01-2005.12,Cooperative Co-evolutionary Algorithms for Power System Optimal Operation and Integrated Resource Planning (National Natural Science Foundation of China No. 50207007, 0.2M)

  • 2000.01-2003.12, Research on Pricing Theory, Auction Mechanism and Simulation of Electricity Market in China (Key Project of National Natural Science Foundation of China No. 59937150, 1.05M)

  • Operation of Electric Power Systems in the Market Environment

  • Construction ofElectricity Market Operation Simulation Laboratory

  • Influence of Electricity Market on Power System Reliability (National Key Basic Research Project No. 2004CB217905)

  • Research on Competitive Bidding of the Northwest Regional Power Market (Key Project of Northwest Power Grid Co. Ltd.)

  • Design of Northwest Electricity Market of China (Project of Northwest Electricity Regulatory Committee)

PUBLICATIONS

  • PhD Dissertation

    • Electricity Cost Analysis Based on Modified Lagrangian Relaxation Method, Ph.D. dissertation, Xi’an: Xi’an Jiaotong University, China, 2000

  • Books

    • Power System Optimization: Large-scale Complex Systems Approaches (with Honwing Ngan and Yongjun Zhang), John Wiley & Sons - IEEE Press, June 2016.

    • Transmission Expansion Planning Theory and Method with High Share Renewable Energy (with Haozhong Cheng and Zhidong Wang, et al).

    • Fundament of Electricity Market (with Xifan Wang and Xiuli Wang), Xi’an: Xi’an Jiaotong University Press, China, 2003

  • Presentations and organization

    • 2022 (Dec. 25) – 2022 the 12th International Conference on Power and Energy Systems (ICPES2022), Guangzhou, China, serve as the Conference Chairs.

    • 2021 (March. 28) – Global Bay Area Green Development Forum 2021, Guangzhou, China, serve as the Conference Chairs.

    • 2019 (Nov.20) – World Engineers Convention 2019, Melbourne, Australia: "Research and Practice of Resilient Smart Grid Based on Hainan Island in China."

    • 2019 (Nov.06) – 2019 Bitgaram International Power Technology Expo (BIXPO2019), Gwangju, Korea: "Development of Electricity."

    • 2019 (August. 06) – IEEE PES General meeting 2019, Portland, USA: “Electricity Pricing with Continuous-Time Commodity Model and Non-Monotonic Load Curve.”

    • 2018 (Nov. 20) – The 11th International Conference on Power System Technology (PowerCon2018), Guangzhou, China: “Electricity Market and Power System Economy.”

    • 2016 (July. 16) – IEEE PES General meeting 2016, Boston, USA: “Key Technologies for Integration of Multi-Type Renewable Energy Sources: Research on Multi-Timeframe Robust Scheduling/Dispatch.”

    • 2014 (Dec. 11) – The 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC 2014), Hongkong: “Robust Optimization in Power Systems with Multi-Type Renewable Sources.”

  • Patents (More than 20 national intention patents of China)

    • Haoyong Chen, Runge Lu, Rong Ye, et al. Feedback Nash Equilibrium Control Method of Load/Frequency Based on Co-evolutionary Algorithms. National Invent Patent. CN201310134921

    • Haoyong Chen, Rong Ye, Runge Lu. Multi-Area Automatic Generation Control Method Based on Differential Game Theory. National Invent Patent. CN201310108079

    • Tianen Chen, Haoyong Chen, Hao Zhang, et al. A Wind Power Forecasting Approach Base on BP Neural Network Optimized by Genetic Algorithms. National Invent Patent. CN200910193820

    • Haoyong Chen, Xifan Wang, Juanxue Wang, Zechun Hu. Cooperative Co-evolutionary Approach Applied in Reactive Power Optimization of Power System. National Invent Patent. CN200410025959

    • Xiaoming Jin, Haoyong Chen, et al. A multi-objective reactive power optimization method based on a linear weighting method of efficacy coefficients. National Invent Patent. CN201410571706.3

    • Cong Zhang, Haoyong Chen, et al. A linear programming based method for calculating interval tidal currents in right-angle coordinate form. National Invent Patent. CN201710059967

    • Cong Zhang, Haoyong Chen, et al. A genetic algorithm-based approach to interval reactive power optimization. National Invent Patent. CN201710290431.X

    • Cong Zhang, Haoyong Chen, et al. Linearized solution method for interval reactive power optimization model. National Invent Patent. CN201710290432.4

    • Yiping Chen, Xiaodong Zheng, Jun Hou, Haoyong Chen, et al. A method and system for voltage control at the delivery end of high-voltage DC power transmission. National Invent Patent. CN201511032881.6

    • Haoyong Chen, Peizheng Xuan, et al. An intra-day rolling planning method for power systems with multiple types of new energy sources. National Invent Patent. CN201510250844.6

    • Yiping Chen, Xiaodong Zheng, Jun Hou, Haoyong Chen, et al. A method and system for coordinated control of secondary voltages based on cooperative countermeasures. National Invent Patent.CN201511030456.3

    • Haoyong Chen, Yongchao Wang, et al. A robust scheduling system for power system day-ahead under grid-connected conditions for intermittent generation. National Invent Patent.CN201510250822.X

    • Yiping Chen, Weike Mo, Jun Hou, Haoyong Chen, et al. A load tracking method and system for AC-DC interconnected grid. National Invent Patent. CN201511027720.8

    • Zipeng Liang, Haoyong Chen, et al. An Adaptive Robust Standby Optimization Method for Large Grids Considering the Cost of Risk. National Invent Patent.CN201810369413.5

  • Selected papers (300+ SCI/EI papers)

Section A – Most representative publications beyond the recent five-year period

    • Chen, H., Xuan, P., Wang, Y., Tan, K., & Jin, X. (2015). Key technologies for integration of multitype renewable energy sources—Research on multi-timeframe robust scheduling/dispatch. IEEE Transactions on Smart Grid, 7(1), 471-480.

    • Chen, H., Assala, P. D. S., Cai, Y., & Yang, P. (2016). Intelligent transient overvoltages location in distribution systems using wavelet packet decomposition and general regression neural networks. IEEE Transactions on Industrial Informatics, 12(5), 1726-1735.

    • Chen, H., Ye, R., Wang, X., & Lu, R. (2014). Cooperative control of power system load and frequency by using differential games. IEEE Transactions on Control Systems Technology, 23(3), 882-897.

    • Chen, H., & Wang, X. (2007). Strategic behavior and equilibrium in experimental oligopolistic electricity markets. IEEE Transactions on Power Systems, 22(4), 1707-1716.

    • Chen, H., Wong, K. P., Chung, C. Y., & Nguyen, D. H. M. (2006). A coevolutionary approach to analyzing supply function equilibrium model. IEEE Transactions on Power Systems, 21(3), 1019-1028.

    • Chen, H., Wong, K. P., Nguyen, D. H. M., & Chung, C. Y. (2006). Analyzing oligopolistic electricity market using coevolutionary computation. IEEE Transactions on Power Systems, 21(1), 143-152.

    • Chen, H., Wang, X., & Zhao, X. (2004). Generation planning using Lagrangian relaxation and probabilistic production simulation. International journal of electrical power & energy systems, 26(8), 597-605.

    • Chen, H., & Wang, X. (2002). Cooperative coevolutionary algorithm for unit commitment. IEEE Transactions on power systems, 17(1), 128-133.

Section B – Most representative publications in recent five years

    • Liang, Z., Chen, H., Chen, S., Wang, Y., Zhang, C., & Kang, C. (2020). Robust transmission expansion planning based on adaptive uncertainty set optimization under high-penetration wind power generation. IEEE Transactions on Power Systems, 36(4), 2798-2814.

    • Zheng, X., & Chen, H. (2020). Data-driven distributionally robust unit commitment with Wasserstein metric: Tractable formulation and efficient solution method. IEEE Transactions on Power Systems, 35(6), 4940-4943.

    • Zheng, X., Chen, H., Xu, Y., Liang, Z., & Chen, Y. (2019). A hierarchical method for robust SCUC of multi-area power systems with novel uncertainty sets. IEEE Transactions on Power Systems, 35(2), 1364-1375.

    • Liang, Z., Chen, H., Wang, X., Chen, S., & Zhang, C. (2019). Risk-based uncertainty set optimization method for energy management of hybrid AC/DC microgrids with uncertain renewable generation. IEEE Transactions on Smart Grid, 11(2), 1526-1542.

    • Zhang, C., Chen, H., Shi, K., Qiu, M., Hua, D., & Ngan, H. (2017). An interval power flow analysis through optimizing-scenarios method. IEEE Transactions on Smart Grid, 9(5), 5217-5226.

    • Zhang, C., Chen, H., Liang, Z., Guo, M., Hua, D., & Ngan, H. (2017). Reactive power optimization under interval uncertainty by the linear approximation method and its modified method. IEEE Transactions on Smart Grid, 9(5), 4587-4600.

    • Zhang, C., Chen, H., Shi, K., Liang, Z., Mo, W., & Hua, D. (2018). A multi-time reactive power optimization under interval uncertainty of renewable power generation by an interval sequential quadratic programming method. IEEE Transactions on Sustainable Energy, 10(3), 1086-1097.

    • Zhang, C., Chen, H., Ngan, H., Yang, P., & Hua, D. (2016). A mixed interval power flow analysis under rectangular and polar coordinate system. IEEE Transactions on Power Systems, 32(2), 1422-1429.

    • Zheng, X., Xu, Y., Li, Z., & Chen, H. (2021). Co-optimisation and settlement of power-gas coupled system in day‐ahead market under multiple uncertainties. IET Renewable Power Generation, 15(8), 1632-1647.

    • Zhang, C., Chen, H., Liang, Z., Mo, W., Zheng, X., & Hua, D. (2018). Interval voltage control method for transmission systems considering interval uncertainties of renewable power generation and load demand. IET Generation, Transmission & Distribution, 12(17), 4016-4025.

    • Shi, K., Wang, B., & Chen, H. (2018). Fuzzy generalised predictive control for a fractional‐order nonlinear hydro‐turbine regulating system. IET Renewable Power Generation, 12(14), 1708-1713.

    • Zhang, C., Chen, H., Ngan, H., Liang, Z., Guo, M., & Hua, D. (2017). Solution of reactive power optimisation including interval uncertainty using genetic algorithm. IET Generation, Transmission & Distribution, 11(15), 3657-3664.

    • Zhang, C., Chen, H., & Ngan, H. (2016). Reactive power optimisation considering wind farms based on an optimal scenario method. IET Generation, Transmission & Distribution, 10(15), 3736-3744.

    • Fu, X., Chen, H., Cai, R., & Xuan, P. (2016). Improved LSF method for loss estimation and its application in DG allocation. IET Generation, Transmission & Distribution, 10(10), 2512-2519.

    • Tahir, M. F., Haoyong, C., & Guangze, H. (2022). Evaluating individual heating alternatives in integrated energy system by employing energy and exergy analysis. Energy, 249, 123753.

    • Tan, B., & Chen, H. (2020). Multi-objective energy management of multiple microgrids under random electric vehicle charging. Energy, 208, 118360.

    • Lin, Z., Chen, H., Wu, Q., Li, W., Li, M., & Ji, T. (2020). Mean-tracking model based stochastic economic dispatch for power systems with high penetration of wind power. Energy, 193, 116826.

    • Zheng, X., Zhou, B., Wang, X., Zeng, B., Zhu, J., Chen, H., & Zheng, W. (2023). Day-ahead network-constrained unit commitment considering distributional robustness and intraday discreteness: A sparse solution approach. Journal of Modern Power Systems and Clean Energy, 11(2), 489-501.

    • Tahir, M. F., Mehmood, K., Haoyong, C., Iqbal, A., Saleem, A., & Shaheen, S. (2022). Multi-objective combined economic and emission dispatch by fully informed particle swarm optimization. International Journal of Power and Energy Systems, 42(10).

    • Tan, B., Chen, H., Zheng, X., & Huang, J. (2022). Two-stage robust optimization dispatch for multiple microgrids with electric vehicle loads based on a novel data-driven uncertainty set. International Journal of Electrical Power & Energy Systems, 134, 107359.

    • Lin, Z., Chen, H., Wu, Q., Huang, J., Li, M., & Ji, T. (2021). A data-adaptive robust unit commitment model considering high penetration of wind power generation and its enhanced uncertainty set. International Journal of Electrical Power & Energy Systems, 129, 106797.

    • Xiao, D., Chen, H., Wei, C., & Bai, X. (2021). Statistical measure for risk-seeking stochastic wind power offering strategies in electricity markets. Journal of Modern Power Systems and Clean Energy, 10(5), 1437-1442.

    • Zheng, X., Chen, H., Xu, Y., Li, Z., Lin, Z., & Liang, Z. (2020). A mixed-integer SDP solution to distributionally robust unit commitment with second order moment constraints. CSEE Journal of Power and Energy Systems, 6(2), 374-383.

    • Liang, Z., Chen, H., Chen, S., Lin, Z., & Kang, C. (2019). Probability-driven transmission expansion planning with high-penetration renewable power generation: A case study in northwestern China. Applied Energy, 255, 113610.

    • Chen, H., Wang, X., Li, Z., Chen, W., & Cai, Y. (2019). Distributed sensing and cooperative estimation/detection of ubiquitous power internet of things. Protection and Control of Modern Power Systems, 4, 1-8.

    • Zhang, C., Chen, H., Hua, D., Li, C., Zhou, B., & Liang, Z. (2019). A novel interval voltage control method considering interval power data and discrete control variables. International Journal of Electrical Power & Energy Systems, 107, 58-67.

    • Zhang, C., Chen, H., Guo, M., Wang, X., Liu, Y., & Hua, D. (2018). DC power flow analysis incorporating interval input data and network parameters through the optimizing-scenarios method. International Journal of Electrical Power & Energy Systems, 96, 380-389.

    • Mo, W., Chen, Y., Chen, H., Liu, Y., Zhang, Y., Hou, J., ... & Li, C. (2017). Analysis and measures of ultralow-frequency oscillations in a large-scale hydropower transmission system. IEEE Journal of Emerging and Selected Topics in Power Electronics, 6(3), 1077-1085.

    • Zheng, X., Chen, Y., Chen, H., Zhang, Y., Zhu, J., Chen, J., & Xuan, P. (2017). Loss-minimizing generation unit and tie-line scheduling for asynchronous interconnection. IEEE Journal of Emerging and Selected Topics in Power Electronics, 6(3), 1095-1103.

Section C – International conferences in the recent five years

    • Chen, H., & Han, L. (2018, August). Electricity pricing theory based on continuous time commodity model. In 2018 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.

    • Chen, Y., Hou, J., Chen, J., Zheng, X., Chen, H., & Liang, Z. (2018, August). A novel approach for multi-area power system day-ahead scheduling under uncertainties. In 2018 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.

    • Dai, X., Chen, H., Xiao, D., He, Q., & Huang, Y. (2022, February). Distributed Energy Resource-Assisted Industrial Demand Response: A Survey on Technologies, Business Models, and Applications in China. In 2022 International Conference on Power Energy Systems and Applications (ICoPESA) (pp. 503-510). IEEE.

    • Liang, Z., & Chen, H. (2022, July). Data-Correlation Energy Management of Smart Homes with Rooftop Photovoltaic and Plug-in Electric Vehicles. In 2022 15th International Conference on Human System Interaction (HSI) (pp. 1-6). IEEE.

    • Xie, Z., Zhu, N., Chen, H., Le, Q., Li, J., & Qin, H. (2022, October). The participation of Independent Energy Storages in Electricity Markets: A Suvey and Perspectives of Jiangxi Province. In 2022 Asian Conference on Frontiers of Power and Energy (ACFPE) (pp. 688-693). IEEE.

    • Huang, Y., Chen, H., Chen, H., Deng, S., He, Q., & Dai, X. (2022, July). A Novel Mechanism for EV Aggregators in Balancing Market Based on Multiple Game Theory. In 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (pp. 595-600). IEEE.

    • Ren, Y., Ma, C., Chen, H., & Huang, J. (2021, December). Low-carbon power dispatch model under the carbon peak target. In 2021 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 2078-2082). IEEE.

    • Xiao, D., Chen, H., Dai, X., Tan, B., & Huang, J. (2021, December). Financial Risk Management for Intermittent Renewable Energy Trading in Deregulated Power Markets: A Systematic Review. In 2021 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 1903-1908). IEEE.

    • Duan, S., Chen, H., Xiao, D., Huang, J., Zheng, X., & Deng, S. (2021, December). Analysis of Electricity Market Equilibrium Considering Carbon Emission Mechanism. In 2021 International Conference on Power System Technology (POWERCON) (pp. 625-629). IEEE.

    • Chen, G., Duan, S., Xu, Y., Liu, M., Chen, H., & Yu, Z. (2021, May). The Comparative Analysis of Midpoint Uniform Clearing and Spread Aggregation Clearing in Electricity Market Based on Experimental Economics. In 2021 International Conference on Control Science and Electric Power Systems (CSEPS) (pp. 262-268). IEEE.

    • Obid, A. A. A., & Chen, H. (2021, December). Optimization Method of Spinning Reserve Capacity for Day-ahead Generation Scheduling Under the Constraints of Carbon Emission Limits. In 2021 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 799-803). IEEE.

    • Wu, L., & Chen, H. (2020, December). Synchronization conditions for a third-order Kuramoto network. In 2020 59th IEEE Conference on Decision and Control (CDC) (pp. 5834-5839). IEEE.

    • Hu, G., Wang, H., Fan, K., Chen, H., Deng, S., & Duan, S. (2020). Analysis of Market Equilibrium Based on Co-evolution in Electricity Spot Market. In E3S Web of Conferences (Vol. 218, p. 02024). EDP Sciences.

    • Chen, S., Chen, H., Chen, J., Liu, X., Chen, J., & Wang, Y. (2020, December). Dynamic Analysis and Simulation of Exergy Based on the Energy Network Theory. In 2020 10th International Conference on Power and Energy Systems (ICPES) (pp. 505-511). IEEE.

    • Zhang, J., Chen, H., & Wang, W. (2020, November). High-Resolution Load Forecasting Approach for Micro-grid with Renewable Energy Sources. In 2020 4th International Conference on Power and Energy Engineering (ICPEE) (pp. 31-36). IEEE.

    • Liang, Z., Chen, H., Chen, S., & Liu, Y. (2019, March). A Novel Uncertainty Budget Optimization Method for Hybrid AC/DC Microgrids with High-Penetration Renewable Generation. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) (pp. 679-684). IEEE.

    • Zhong, J., Chen, H., & Chen, W. (2019, December). Electricity Market Simulation Considering High Proportion of Renewable Energy Penetration. In 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) (pp. 1-5). IEEE.

    • Huang, L., & Chen, H. (2019, May). Simulation and analysis of centralized bidding market clearing method based on intelligent algorithm. In 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) (pp. 2963-2967). IEEE.

    • Liu, Y., & Chen, H. (2019, May). Construction and Enlightenment of Japan’s New Electricity Market. In 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) (pp. 3020-3025). IEEE.

    • Jingyi, S., Xin, J., Jinfeng, G., Haoyong, C., & Ke, S. (2019, May). Experimental Analysis of Equilibrium of Long-Term Market Clearing Mechanism in China. In 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) (pp. 2986-2990). IEEE.

    • Wang, X., Chen, H., & Huang, L. (2019, May). Design and Research on Electricity Market Operation System in Southern Region. In 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) (pp. 3080-3084). IEEE.

    • Liang, Z., Chen, H., Chen, S., & Liu, Y. (2019, March). A Novel Uncertainty Budget Optimization Method for Hybrid AC/DC Microgrids with High-Penetration Renewable Generation. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) (pp. 679-684). IEEE.

    • Chen, H., & Han, L. (2018, November). Influence of load curve slope on clearing prices of continuous-time commodity electricity market. In 2018 International Conference on Power System Technology (POWERCON) (pp. 828-834). IEEE.

    • Chen, H., Qiu, M., & Ngan, H. W. (2018, November). Energy network theory for modeling and analysis of integrated energy systems. In 2018 International Conference on Power System Technology (POWERCON) (pp. 424-432). IEEE.

    • Liang, Z., Chen, H., Zheng, X., & Sun, G. (2018, November). A boundary-based method for robust economic dispatch with uncertain wind power in microgrids. In The 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018) (pp. 1-6). IET.

    • Lin, Z. J., Chen, H., Yin, X., & Tan, B. (2018, November). Risk-aware robust economic dispatch considering correlation of wind power. In The 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018) (pp. 1-6). IET.

    • Tan, B., Chen, H., & Liang, Z. (2018, September). Research on Power Grid Economic Dispatch Strategy Based on Generator and Load Characteristics. In 2018 China International Conference on Electricity Distribution (CICED) (pp. 776-783). IEEE.

    • Zhang, C., Chen, H., Hua, D., Shi, K., Liu, Y., Wang, X., & Li, C. (2018, November). Solution of interval reactive power optimization model through defining security limits. In 2018 International Conference on Power System Technology (POWERCON) (pp. 1384-1389). IEEE.

    • Zhang, C., Chen, H., Shi, K., Liang, Z., & Hua, D. (2018, May). Range Analysis of Power Flow in Electric Power Systems Incorporating Uncertain Wind Power Generation. In 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia) (pp. 390-395). IEEE.

Section D – Authoritative media articles (sole author) and interviews in the recent five years

    • The Public Policy Attributes of Electricity Prices Should Not Be Ignored, China Energy News, 2/5/2022, Page 7,

http://paper.people.com.cn/zgnyb/html/2021-03/01/content_2036323.htm

    • User-Side Flexible Resources Need to Be Awakened, China Energy News, 21/2/2022, Page 4,

http://paper.people.com.cn/zgnyb/html/2022-02/21/content_25904349.htm

    • The Value of Energy Transmission and Conversion Should Be Reflected, China Energy News, 22/11/2021, Page 4,

http://paper.people.com.cn/zgnyb/html/2021-11/22/content_25890339.htm

    • Electricity Price Should Reflect The Value of Capacity and Energy, China Energy News, 1/3/2021, Page 4,

http://paper.people.com.cn/zgnyb/html/2021-03/01/content_2036323.htm

    • Enhance Power Supply Capability with Time-of-Use Pricing Mechanism, China Energy News, 11/1/2021, Page 4,

http://paper.people.com.cn/zgnybwap/html/2021-01/11/content_2028719.htm

    • Power Industry Deregulation Should Return to Price Mechanism Reform, China Energy News, 10/8/2020, Page 4,

http://paper.people.com.cn/zgnyb/html/2020-08/10/content_2002756.htm

    • Electricity Market Must Establish Independent System Operator Step By Step, China Energy News, 9/3/2020, Page 4,

http://paper.people.com.cn/zgnyb/html/2020-03/09/content_1975546.htm

    • Avoid The Topic of Grid Security Becoming an Obstacle to Power Industry Deregulation, China Energy News, 9/12/2019, Page 4,

http://paper.people.com.cn/zgnyb/html/2019-12/09/content_1960943.htm

    • Realization of "Separation of Network and Transportation" Is The Top Priority For Power Industry Deregulation, China Energy News, 15/7/2019, Page 4,

http://paper.people.com.cn/zgnyb/html/2019-07/15/content_1936442.htm

    • Power Industry Deregulation Cannot Be Only "Spot Market-Based", China Energy News, 22/4/2019, Page 4,

http://paper.people.com.cn/zgnyb/html/2019-04/22/content_1921325.htm

    • Spot Market Trading Is Difficult To Enhance System Flexibility, China Energy News, 14/1/2019, Page 4,

http://paper.people.com.cn/zgnyb/html/2019-01/14/content_1904219.htm

    • The Top-Level Design of Electricity Market Should Focus on Electricity Price Formation Mechanism, China Energy News, 6/8/2018, Page 12,

http://paper.people.com.cn/zgnyb/html/2018-08/06/content_1873094.htm

    • The Reform of the Electric Power System Should Break Out Of "Path Dependence", China Energy News, 28/5/2018, Page 4,

http://paper.people.com.cn/zgnyb/html/2018-05/28/content_1857969.htm

    • No Perfect Electricity Market Design Can Be Copied, China Energy News, 5/2/2018, Page 4,

http://paper.people.com.cn/zgnyb/html/2018-02/05/content_1835390.htm

    • Spot Market: The "Last Mile" of Electric Energy Trading, China Energy News, 31/7/2017, Page 4,

http://paper.people.com.cn/zgnyb/html/2017-07/31/content_1795065.htm

    • Build a Power Market Mechanism to Adapt to Green Development, Economic Daily, 21/6/2018, Page 16,

http://paper.ce.cn/jjrb/html/2018-06/21/content_365649.htm

    • New Energy Power (I), Approaching Science Program, CCTV-10, 7/8/2019

https://tv.cctv.com/2019/08/07/VIDE81bWMzJ8EuWO348uhSJc190807.shtml

    • New Energy Power (II), Approaching Science Program, CCTV-10, 8/8/2019

https://tv.cctv.com/2019/08/08/VIDEFt99aDQTeHnaXnBVqfvt190808.shtml

HONORS & AWARDS

  • First Prize of Excellent Natural Science Research of the Ministry of Education of China, 2009

  • Second Prize of Science and Technology Progress Award of the Ministry of Education of China, 2022

  • Guangdong Electric Power Science and Technology Outstanding Contribution Award, 2020

  • First Prize of Science and Technology Progress Award of Guangdong Society For Electrical Engineering, 2019

  • Award on WFEO Symposium Celebrating 50 Years of Engineering Leadership held in the UNESCO headquarters, Paris, France, on 7th March 2018

  • Frontrunner 5000 (Top Articles in Outstanding S&T Journals of China), 2014,2017, 2020, 2021

  • First Prize of Hainan Provincial Science and Technology Progress Award, 2017

  • Second Prize of China Electric Power Innovation Award of CSEE, 2017

  • Second Prize of China Electric Power Science and Technology Award of China Electricity Council, 2017

  • Third Prize of Science and Technology Progress Award of China Southern Power Grid Co., 2017

  • First Prize of Science and Technology Progress Award of Hainan Power Grid Co., 2017

  • Second Prize of Science and Technology Progress Award of Hainan Power Grid Co., 2017

  • China National Funds for Excellent Young Scientists, 2013

  • Natural Science Outstanding Achievement Award of Ministry of Education (first prize), 2008

  • New Century Excellent Talents in University, 2008

MORE

  • Over 200 more papers published on international or Chinese journals in electrical engineering

  • Strong connection with several regional and national power companies in China through collaborative and industrial supported R & D projects

  • Cited by over 10,000 papers


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