IEEE Senior Member
IEEE Transactions on Power System, IET Proceedings - Generation Transmission and Distribution,
IEEE Transactions on Power Delivery, Chinese Journal of Electrical Engineering, Electric Power Reviewer for famous domestic and foreign magazines such as system automation, power grid technology, and relays
Reviewer for the Power Systems Computation Conference (PSCC) international conference
National Natural Science Foundation of China project review expert
p>
Chen Hao-yong, Han nationality, is from Yueyang, Hunan. In September 1990, he entered the juvenile class of Xi'an Jiaotong University and obtained a bachelor's degree and a doctorate in power system and automation in 1995 and 2000 respectively. After graduation, he stayed in school to teach. In December 2006, he was introduced to South China University of Technology as an outstanding young teacher under the "Hundred Talents Plan". He was promoted to professor in 2008 and approved as doctoral supervisor in 2010. It has guided and assisted in supervising 19 master's degree candidates, 4 doctoral candidates, cooperated with Hong Kong Polytechnic University to train 1 doctoral candidate, and assisted in supervising 1 doctoral candidate in industrial economics at Xi'an Jiaotong University. Currently serving as a project review expert for the National Natural Science Foundation of China.
Professor Chen Haoyong has been teaching at Xi'an Jiaotong University since 2000 for the main professional course "Power System Analysis" for undergraduates and the College of Adult Education. After coming to South China University of Technology, he served as the main professional course "Power System Analysis" " and the elective course "Introduction to Electric Power Economics and Management" and other courses, with high teaching quality. He pioneered the introduction of economic experiment methods into electricity market teaching. We jointly organized the national "Advanced Training Course on Electricity Market Theory and Technology" with the China Electricity Council to cultivate electric power market management and technical talents for my country's electric power industry after its market-oriented reform. Presided over the compilation of the textbook "Introduction to Electricity Economics and Management", participated in the compilation of the new textbook "Basics of Electricity Market", participated in the compilation of 2 monographs, 1 research report and 1 handout.
Professor Chen Haoyong’s current scientific research directions are mainly: power system analysis, operation and control, power system reliability and planning, new energy grid connection technology, smart grid, power market, etc. While studying and working at Xi'an Jiaotong University, I studied under Professor Wang Xifan, a famous power system expert in my country, IEEE Fellow, and Academician of the Chinese Academy of Sciences, and conducted long-term systematic research on power system reliability and planning, power system analysis, operation and control, and power markets. research and achieve significant research results. For the first time in the world, he proposed the "co-evolutionary algorithm" for the power system unit combination problem, and comprehensively expanded the research on the "co-evolutionary algorithm" to the fields of power optimization planning/optimization operation, oligopoly power market simulation and analysis, etc., and achieved important research results. Widely recognized by international peers. With the support of the start-up funds of South China University of Technology's "Hundred Talents Plan", we successfully built a power market operation simulation laboratory, took the lead in designing and implementing a power market trading simulation system in the country, and took the lead in using experimental economics methods to study the trading mechanism of the power market. In recent years, we have actively explored the application methods and value of cutting-edge theories such as evolutionary algorithms, artificial neural networks, wavelet analysis, mathematical morphology, mixed integer programming, and differential games in the fields of new energy power generation forecasting, power system optimization dispatch and control, and distributed power generation. , gradually forming a complete research framework for the direction of smart grid under the condition of new energy access.
Professor Chen Haoyong is currently chairing projects such as the National Natural Science Foundation project "Research on Optimal Coordinated Voltage Control of Power Systems Based on Differential Game Theory", the Ministry of Education New Century Excellent Talents Support Program Project "Large-scale Wind Power Grid Integration" "Theory and method of optimal dispatching of power systems under certain conditions", the Ministry of Education's key project of science and technology research "Research on the safety-constrained unit combination model and algorithm of power systems including large wind farms", etc.
As a main researcher, he participated in the key project of the National Natural Science Foundation of China "Research on the Electricity Price Theory, Trading Mechanism and Simulation of my country's Electricity Market", the sub-project of the 973 Project "Research on the Impact of the Electricity Market on the Operation Reliability of the Power System", and was responsible for the National Social Science Foundation The project "Research on Experimental Economics of Electricity Market Trading System", based on this, developed a system theory of electricity market and smart grid simulation. Responsible for the research on the "Northwest Electric Power Market Comprehensive Simulation System", a key project of Northwest Power Grid Co., Ltd. in 2007-2008. Cooperated with the China Electric Power Research Institute to study the State Grid Simulation System. Responsible for the scientific research project "National Electricity Market Simulation System Scheme Design and Function Development". The research results won the first prize in natural science of the Ministry of Education’s 2008 Outstanding Achievements in Scientific Research in Colleges and Universities. In the past five years, he has published 41 papers in authoritative domestic and foreign journals and international conferences, of which 10 were included in SCI and 38 were included in EI. Professor Chen Haoyong's papers have been widely cited by domestic and foreign researchers in the fields of power systems, artificial intelligence, economic management, and quantum physics. According to SCI and China Citation Database, the published papers have been cited more than 800 times by Chinese and foreign publications. The co-evolutionary algorithm for power system reactive power optimization problem studied has won 2 national invention patents.
Professor Chen Haoyong has close ties with international colleagues. He served as an associate researcher at the Hong Kong Polytechnic University from April 2004 to February 2005; and as a visiting assistant at the Hong Kong Polytechnic University from February 2007 to May 2007. Professor; from July 2008 to August 2008, he served as a visiting professor at the University of Queensland, Australia. In recent years, it has maintained exchanges in the form of academic cooperation and joint training projects with electric power scholars from the Hong Kong Polytechnic University, the University of Queensland in Australia, Tennessee State University in the United States, and the University of Liverpool in the United Kingdom. It has maintained long-term cooperative relationships with the State Grid Corporation of China, China Southern Power Grid Corporation, China Electric Power Research Institute and Nanjing Automation Research Institute, and has a certain reputation in my country's power industry. The research team has established an excellent scientific research working environment and working atmosphere, with sufficient research funds. We welcome outstanding domestic undergraduate graduates in power systems, automation and other majors to apply. In the past five years, the funding for scientific research projects he has hosted and participated in has exceeded 10 million yuan, and the funding for ongoing research projects has reached 5 million yuan.
The following projects have been completed:
1. Key projects of Northwest Power Grid Co., Ltd.: Northwest Power Market Comprehensive Simulation System
(already completed in Beijing in October 2008 A project review and acceptance meeting was organized. Experts from the State Electricity Regulatory Commission, State Grid Corporation of China, China Power Investment Corporation, Tsinghua University and some provincial companies attended the meeting. The expert review and acceptance committee unanimously believed that the research results of this project reached the international leading level. All major power information websites reported this news.
)
2. National Natural Science Foundation Project: Co-evolutionary Algorithm for Power System Operation Mode Optimization and Comprehensive Resource Planning
3. National Social Science Foundation Project: Experiment on Electricity Market Trading System Economic Research
4. The second phase sub-project of the Ministry of Education’s “985 Project”: Construction of Electricity Market Operation Simulation Laboratory
5. State Electric Power Regulatory Commission Northwest Regulatory Bureau Project: Northwest Electric Power Market plan design
6. National Natural Science Foundation key project: Research on electricity price theory, trading mechanism and simulation of my country’s electricity market
7. Construction of the first phase of the Ministry of Education’s “985 Project” Project: Power System Operation under Market Environment
8. National Key Basic Research and Development Program Special Funding (973) Sub-project: The Impact of Electricity Market on Power System Operation Reliability
9 . China Southern Power Grid Co., Ltd. project: Research on the operation and management model of China Southern Power Grid’s power transmission and transformation backbone grid
10. State Grid Corporation of China project: Research on large-scale power system bidding transaction optimization algorithm technology
11. Northwest Power Grid Co., Ltd. Project: Bidding Method in the Northwest Regional Electricity Market
12. China Electric Power Research Institute Cooperation Project: National Electricity Market Simulation System Design and Function Development
13. Guangzhou Power Supply Bureau Project: Research and Implementation of Grid Rolling Planning Auxiliary Support System Based on Comprehensive Data Platform
Projects under Research:
1. National Natural Science Foundation Project: Based on Differential Game Theory Research on optimal coordinated voltage control of power systems
2. Ministry of Education New Century Talent Support Program (NCET080207): Theory and method of power system optimization dispatch under large-scale wind power grid connection conditions (total scientific research funding of 500,000 yuan)
3. Key scientific and technological research projects of the Ministry of Education: Research on safety-constrained unit combination models and algorithms for power systems including large-scale wind farms
4. Key projects of Northwest Power Grid Co., Ltd.: The second phase of the Northwest Electric Power Market Comprehensive Simulation System Project (total scientific research funding of 750,000 yuan). The main papers published in recent years are as follows:
Journal papers:
[1] Strategic Behavior and Equilibrium in Experimental Oligopolistic Electricity Markets, IEEE Transactions on Power Systems, 22(4), 2007. SCI search, EI search
[2]Analyzing Oligopolistic Electricity Market Using Coevolutionary Computation, IEEE Trans. on Power Systems, 21( 1): 143~152, 2006. SCI search, IDS No.: 008CE, EI search, 06079698395
[3]A Coevolutionary Approach to Analyzing Supply Function Equilibrium Model, IEEE Trans. on Power Systems, 21 (3): 1019~1028, 2006. SCI search, IDS No.: 068EM, EI search, 063510086487
[4]Generation Planning Using Lagrangian Relaxation and Probabilistic Production Simulation, International Journal of Electrical Power amp; En
ergy Systems, 26(8): 597~605, 2004. SCI search, IDS No.: 837VY, EI search, 04278248863
[5]Cooperative Coevolutionary Algorithm for Unit Commitment, IEEE Transactions on Power Systems, 17(1): 128~133, 2002. SCI search, IDS No.: 518LZ, EI search, 02156913020
[6]Volt/Var Control in Distribution Systems Using a Time-Interval Based Approach, IEE Proceedings-Generation Transmission and Distribution, 150 (5): 548~554, 2003. SCI search, IDS No.: 731NG, EI search, 03447699087
[7]A Framework of Oligopolistic Market Simulation with Coevolutionary Computation , Springer's Lecture Notes in Computer Science (LNCS) 4221: Advances in Natural Computation, 860~869. SCI search, IDS No.: BFH67, EI search, 064410206690
[8]Cooperative Co-evolutionary Approach Applied in Reactive Power Optimization of Power System, Springer's Lecture Notes in Computer Science (LNCS) 4221: Advances in Natural Computation, 620~628.
SCI search, IDS No.: BFH67, EI search, 064410206662
p>[9] Experimental design and game analysis of oligopoly power market, Power System Automation, 30(19): 1~7, 2006, EI search, 064910289230
[10] Unified price and Experimental analysis of PAB bidding, Power System Automation, 31(4): 12~17, 2007 core journal, EI retrieval, 071610557285
[11] Design, implementation and application of Java-based power market bidding experimental platform , Power System Automation, 28(17): 22~26, 2004, EI retrieval, 04488687330
[12] Co-evolutionary algorithm and its application prospects in power systems, Power System Automation, 27(23) ): 94~100, 2003
[13] Auction theory and its application in the design of bidding mechanism in the power market (1) Auction theoretical basis and experimental research, Power System Automation, 27(3): 17 ~22, 2003
[14] Auction theory and its application in the design of power market bidding mechanism (2) Application of auction theory in the design of power market bidding, Power System Automation, 27(4): 17~23, 2003
[15] Reactive power optimization of power system based on co-evolution method, China Electrical Engineering
Chinese Journal of Electrical Engineering, 24(9): 124~129, 2004, EI search, 04468459408
[16] Multi-objective multi-regional power grid planning based on non-dominated genetic algorithm and co-evolutionary algorithm, Chinese Journal of Electrical Engineering, 26 (12): 11~15, 2006, EI search, 063210056049
[17] Model and overall framework of thermal power plant investment risk decision-making, Chinese Journal of Electrical Engineering, 24(8): 7~11, 2004 , EI search, 04418404450
[18] Algorithm and sensitivity analysis of thermal power plant investment risk decision-making, Chinese Journal of Electrical Engineering, 24(10): 15~20, 2004, EI search, 04538760084
[19] Management of Uncertainty Risks of Electric Power in Hydropower Plants, Chinese Journal of Electrical Engineering, 26(2): 93~100, 2006, EI Retrieval, 06159819599
[20] Short-term electricity price by time period Forecast, Chinese Journal of Electrical Engineering, 25(15): 1~6, 2006, EI search, 05379360350
[21] Comparison of segmented bidding model and time-sharing bidding in the power market, Chinese Journal of Electrical Engineering, 23(9): 22~27, 2003, EI search, 04068009193
[22] Operation methods, rules and models of segmented bidding power market, Journal of Xi'an Jiaotong University, 37(6): 599~ 603, 2003
[23] Simulation, analysis and comparison of segmented bidding power market, Journal of Xi'an Jiaotong University, 37(10): 1043~1047, 2003, EI search, 04108052936
[24] Bilateral contracts in the power market, Electric Power Automation Equipment, 23(11): 77~86, 2003
[25] A combination algorithm for solving the optimal power flow, Chinese Journal of Electrical Engineering , 22(12): 11~16, 2002, EI search, 04128075286
[26] Iterative bidding mechanism in the power generation market, Power System Automation, 26(9): 1~6, 2002, EI search , 02407123942
[27] Analysis of adjustment strategy of unit quotation curve, Power Grid Technology, 26(11): 11~14, 2002
[28] Used for reactive power optimization control partition Two-layer search method, Power Grid Technology, 29(24): 37~41, 2005, EI retrieval, 06039645365
[29] Experimental analysis of forward contract transactions in the power market, Economic Jingwei, (6) : 26~29, 2006
[30] Implementation of agent decision-making module in intelligent simulation of power market, Power System Automation 32(20): 22-26, 2008
[31] Electricity Market Simulator: Adaptive for Studies on Different Market Behavior, Electric Power Automation Equipment 28(11): 99-105, 2008
[32] Energy-saving power generation dispatching method in the regional power market environment, Power Grid Technology 32(24 ): 16-22, 2008
[33] Research on the direct power purchase transaction model and algorithm of large users in the power market, Power Grid Technology 32(21): 85-90, 2008
[34] JASP model for power supply planning considering environmental costs, Journal of Xi'an Jiaotong University 42(8): 1015-1020, 2008
[35] Monthly unit combination and safety check algorithm for large-scale systems, Electric Power System Automation 32(23): 28-30, 2008
[36] Domestic and foreign transaction practices and successful experiences of direct power purchase by large users, East China Electric Power 37(6): 0993-0998
, 2009
......
(The following is omitted)
Papers edited in recent years:
[1] Participated in the compilation of the textbook "Basics of Electricity Market", published by Xi'an Jiaotong University Press in March 2003
[2] Wrote the research report "Research on Experimental Economics of Electricity Market Trading System", printed in March 2006
[3] Compiled the handout "Electricity Market Bidding Simulation Experiment Instruction", printed in October 2003, which has been used as a reference for postgraduate students and management and technical personnel in the electric power industry.
Market bidding simulation experiment textbook, 26,000 words
[4] Participated in the revision of some chapters of "Modern Power System Analysis", I am responsible for 14,000 words, published by Science Press in March 2003 [1] Based on co-evolution Power system reactive power optimization method, national invention patent, authorized in June 2007, patent number ZL 2004 1 0025959.7
[2] A wind power power prediction method based on genetic algorithm optimization BP neural network, national Invention patent, published in May 2010, application number CN200910193820.6 [1] Research on optimal decision-making models and methods for power system operation and planning, first prize in the Natural Science Award of the Ministry of Education’s 2008 Outstanding Achievements in Scientific Research in Colleges and Universities