IEEE power system transactions, IET proceedings-generation, transmission and distribution,

Reviewers of IEEE Transactions on Power Delivery, Journal of China Electrical Engineering, Power System Automation, Grid Grid Technology, Relays and other famous magazines at home and abroad.

Judge of calculation of power system Conference (PSCC) International Conference.

Expert on project evaluation of National Natural Science Foundation of China

Haoyong Chen, Han nationality, is from Yueyang, Hunan. 1September, 1990, entered the juvenile class of Xi Jiaotong University. In 2000, he obtained a bachelor's degree and a doctor's degree in power system and automation. Stay in school to teach after graduation. In February, 2006, she was introduced to South China University of Technology as an outstanding young teacher in the "Hundred Talents Program". In 2008, he was promoted to be a professor and was approved as a doctoral supervisor on 20 10. He has successively guided and assisted in guiding 19 graduate students and 4 doctoral students, trained/kloc-0 doctoral students in cooperation with the Hong Kong Polytechnic University, and assisted in guiding/kloc-0 doctoral students in industrial economics of Xi Jiaotong University. He is currently a project evaluation expert of the National Natural Science Foundation of China.

Since 2000, Professor Haoyong Chen has been teaching in Xi Jiaotong University for undergraduate and adult education, such as power system analysis. After coming to South China University of Technology, I have been the lecturer of main courses such as power system analysis, introduction to elective courses of power economy and management, and the teaching quality is high. Pioneering introduction of economics experiment method in electricity market teaching. A nationwide advanced seminar on power market theory and technology was jointly held with China Electric Power Enterprise Association to train power market management and technical talents for China electric power industry after market-oriented reform. He presided over the compilation of the textbook Introduction to Power Economy and Management, participated in the compilation of the new textbook Fundamentals of Power Market, and participated in the compilation of 2 monographs, research report 1 copy, and lecture notes 1 copy.

Professor Haoyong Chen's current research interests are: power system analysis, operation and control, power system reliability and planning, new energy grid-connected technology, smart grid, power market, etc. During my study and work in Xi Jiao Tong University, I studied under IEEE Fellow, a famous power system expert in China, and Professor Wang Xifan, an academician of China Academy of Sciences, and conducted long-term systematic research on power system reliability and planning, power system analysis, operation and control, and power market, and achieved significant research results. The "co-evolutionary algorithm" of unit commitment in power system is put forward for the first time in the world, and the research of "co-evolutionary algorithm" is extended to the fields of power optimization planning/operation, simulation and analysis of oligopoly power market, etc., and important research results have been obtained, which has been widely recognized by international peers. With the support of the "Hundred Talents Program" of South China University of Technology, we successfully built a simulation laboratory for electricity market operation, took the lead in designing and implementing a simulation system for electricity market transactions in China, and took the lead in using experimental economics to study the trading mechanism of electricity market. In recent years, we have actively explored the application methods and values of frontier theories such as evolutionary algorithm, artificial neural network, wavelet analysis, mathematical morphology, mixed integer programming and differential game. In the fields of new energy power generation prediction, optimal dispatching and control of power system, distributed power generation, etc. , and gradually formed a complete research framework of smart grid direction under the condition of new energy access.

At present, Professor Haoyong Chen is in charge of the National Natural Science Foundation project "Research on Optimal Coordinated Voltage Control of Power System Based on Differential Game Theory", the outstanding talents funded project of the Ministry of Education in the new century "Theory and method of optimal dispatching of power system under the condition of large-scale wind power grid connection" and the key scientific and technological research project of the Ministry of Education "Research on unit commitment model and algorithm of power system with large wind farms". As the main researcher, he participated in the key project of National Natural Science Foundation "Study on Electricity Price Theory, Trading Mechanism and Simulation of China Electricity Market" and the sub-project of 973 "Study on the Influence of Electricity Market on the Operation Reliability of Power System", and was responsible for the project of National Social Science Foundation "Study on Experimental Economics of Electricity Market Trading System". On this basis, he developed the system theory of power market and smart grid simulation. Responsible for the key project "Northwest Power Market Comprehensive Simulation System" of Northwest Power Grid Co., Ltd. in 2007-2008, cooperating with China Electric Power Research Institute to study the national power grid simulation system, and responsible for the scientific research project "National Power Market Simulation System Scheme Design and Function Development". This research achievement won the first prize of natural science of the Ministry of Education in 2008. In recent five years, he has published 4 papers1in authoritative journals and international conferences at home and abroad, including 10 in SCI and 38 in EI. The papers published by Professor Haoyong Chen are widely cited by researchers in the fields of power system, artificial intelligence, economic management and quantum physics at home and abroad. According to SCI and Chinese citation database, published papers in Chinese and foreign languages have been cited more than 800 times. The co-evolutionary algorithm of reactive power optimization in power system has won two national invention patents.

Professor Haoyong Chen keeps close contact with his international counterparts. From April 2004 to February 2005, he worked as an associate researcher at the Hong Kong Polytechnic University. From February 2007 to May 2007, he served as a visiting assistant professor at the Hong Kong Polytechnic University; From July 2008 to August 2008, he was a visiting professor at the University of Queensland, Australia. In recent years, it has maintained academic cooperation and joint training projects with electric power scholars from Hong Kong Polytechnic University, Queensland University in Australia, Tennessee State University in the United States and Liverpool University in the United Kingdom. It has maintained long-term cooperative relations with State Grid Corporation, China Southern Power Grid Corporation, China Electric Power Research Institute, Nanjing Institute of Automation, etc., and has a certain reputation in China electric power industry. The research group has established an excellent research environment and atmosphere, and the research funds are sufficient. Welcome outstanding undergraduate graduates majoring in power system and automation in China to apply for the exam. In the past five years, the funds for scientific research projects he presided over and participated in exceeded 10 million yuan, and the project funds reached 5 million yuan.

The following projects have been completed:

1. Key Project of Northwest Power Grid Co., Ltd.: Integrated Simulation System of Northwest Power Market

(The project review and acceptance meeting was held in Beijing in June 2008. Experts from the State Electricity Regulatory Commission, State Grid Corporation, China Power Investment Corporation, Tsinghua University and some power grid companies attended the meeting. The expert review and acceptance committee agreed that the research results of this project have reached the international leading level. All major domestic 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 Fund Project: Experimental Economics Research on Electricity Market Trading System

4. Sub-project of the second phase of the "985 Project" of the Ministry of Education: construction of simulation laboratory for power market operation.

5. Northwest Supervision Bureau Project of State Electricity Regulatory Commission: Northwest Power Market Scheme Design

6. Key project of National Natural Science Foundation: Study on electricity price theory, trading mechanism and its simulation in China electricity market.

7. The first phase of the "985 Project" of the Ministry of Education: the operation of power system in the market environment.

8. Sub-project of National Key Basic Research and Development Plan (973): Influence of Power Market on Operation Reliability of Power System

9. China Southern Power Grid Co., Ltd. Project: Research on Operation and Management Mode of Southern Power Grid Transmission and Transformation Backbone Network.

10. State Grid Corporation of China Project: Research on Optimization Algorithm of Bidding Transaction in Large-scale Power System

1 1. Northwest Power Grid Co., Ltd. Project: Bidding Model of Northwest Regional Power Market

12. Cooperative project of China Electric Power Research Institute: Design and functional development of national electricity market simulation system.

13. Guangzhou power supply bureau project: research and implementation of auxiliary support system for power grid rolling planning based on comprehensive data platform

Projects under study:

1. National Natural Science Foundation Project: Research on Optimal Coordinated Voltage Control of Power System Based on Differential Game Theory

2. Outstanding Talents Support Program of the Ministry of Education in the New Century (NCET080207): Theory and method of power system optimal dispatching under the condition of large-scale wind power grid connection (total research funding is 500,000 yuan).

3. Key scientific and technological research project of Ministry of Education: Research on unit commitment model and algorithm with security constraints in power system with large wind farms.

4. Key Project of Northwest Power Grid Co., Ltd.: The second phase project of comprehensive simulation system of northwest power market (with total 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 Olympic Power Market, IEEE Transactions on Power Systems, 22 (4), 2007. SCI retrieval, EI retrieval.

[2] Analysis of Olympic power market by co-evolutionary calculation, IEEE Trans. On power system, 21(1):143 ~152, 2006. SCI search, id number: 008CE, EI search, EI search.

[3] Co-evolutionary method for analyzing supply function equilibrium model, IEEE Trans. On power system, 21(3):1019 ~1028, 2006. SCI retrieval, id number: 068EM, EI retrieval.

[4] Power generation planning using Lagrangian relaxation method and probabilistic production simulation, International Journal of Electricity and Electricity; Energy System, 26 (8): 597 ~ 605, 2004. SCI search, id number: 837VY, EI search, 04278248863.

[5] Co-evolutionary algorithm for unit commitment, IEEE Transactions on Power Systems,17 (1):128 ~133, 2002.sci search, id number: 5 18LZ, EI search.

[6] Voltage/Reactive Power Control of Distribution System Based on Time Interval Method, IEE Proceedings-Power Generation, Transmission and Distribution, 150 (5): 548~554, 2003. SCI search, id number: 73 1NG, EI search, 03447699087.

[7] Simulation Framework of Oligopoly Market with Co-evolutionary Computation, springer Lectures on Computer Science (LNCS) 422 1: Progress in Natural Computing, 860 ~ 869. SCI search, id number: BFH67, EI search, 0644 1020690.

Application of cooperative co-evolution method in reactive power optimization of power system, springer Lecture Notes on Computer Science (LNCS) 422 1: Progress in Natural Computing, 620~628.

SCI search, id number: BFH67, EI search, 0644 10206662.

[9] Experimental Design and Game Analysis of Oligopoly Power Market, Power System Automation, 30 (19):1~ 7,2006, EI Search, 0649 10289230.

[10] Experimental Analysis of Unified Price and PAB Bidding, Power System Automation, 31(4):12 ~17, 2007 Core Journals, EI Search, 0716/kloc-0.

[1 1] Design, implementation and application of Java-based electricity market bidding experimental platform, Power System Automation, 28( 17): 22~26, 2004, EI Search, 04488687330.

[12] co-evolutionary algorithm and its application prospect in power system, Power System Automation, 27(23): 94~ 100, 2003.

[13] auction theory and its application in the design of bidding mechanism in power market (I) theoretical basis and experimental research of auction, power system automation, 27(3): 17~22, 2003.

[14] auction theory and its application in bidding mechanism design of electricity market (2) application of auction theory in bidding design of electricity market, power system automation, 27(4): 17~23, 2003.

[15] reactive power optimization of power system based on co-evolution method, Journal of China Electrical Engineering, 24 (9): 124 ~ 129, 2004, EI search, 04468459408.

[16] Multi-objective and multi-regional power grid planning based on non-dominated genetic algorithm and co-evolution algorithm, Journal of China Electrotechnics, 26 (12):1~15, 2006, EI retrieval, 0632/kloc-.

[17] investment risk decision model and overall framework of thermal power plants, Journal of China Electrical Engineering, 24(8): 7~ 1 1, 2004, EI retrieval, 044 1840450.

[18] Algorithm and Sensitivity Analysis of Investment Risk Decision for Thermal Power Plants, Journal of China Electrical Engineering, 24 (10):15 ~ 20,2004, EI Search, 04538760084.

[19] power uncertainty risk management of hydropower plants, Journal of China Electrical Engineering, 26(2): 93~ 100, 2006, EI search, 06 1598 19599.

[20] Short-term electricity price forecast by time, Journal of China Electrical Engineering, 25( 15): 1~6, 2006, EI retrieval, 05379360350.

[2 1] Comparison between block bidding mode and time-sharing bidding in power market, Journal of China Electrotechnics, 23(9):22~27, 2003, EI retrieval, 04068009 193.

[22] Operation Mode, Rules and Model of Sectional Bidding Electricity Market, Journal of Jiaotong University, 37(6): 599~603, 2003.

[23] Simulation, analysis and comparison of segmented bidding power market, Journal of Anjiao University, 37 (10):1043 ~1047, 2003, EI search, 04 108052936.

[24] Bilateral contracts in power market, power automation equipment, 23( 1 1): 77~86, 2003.

[25] A combined algorithm for solving optimal power flow, Journal of China Electrotechnics, 22 (12):1~16, 2002, EI retrieval, 04 128075286.

[26] Iterative Bidding Mechanism in Power Generation Market, Power System Automation, 26 (9):1~ 6,2002, EI Search, 02407 123942.

[27] Analysis on Adjustment Strategy of Unit Quotation Curve, Power Grid Technology, 26 (11):1~14, 2002.

[28] Two-layer search method for reactive power optimization control partition, Power Grid Technology, 29 (24): 37 ~ 4 1, 2005, EI retrieval, 06039645365.

[29] Experimental Analysis of Forward Contract Trading in Electricity Market, Economic Jingwei, (6): 26 ~ 29,2006

[30] Realization of Agent Decision Module in Intelligent Simulation of Power Market, Power System Automation 32(20):22-26, 2008.

[3 1] Power Market Simulator: Research on Adapting to Different Market Behaviors, Power Automation Equipment 28 (11): 99-105, 2008.

[32] Energy-saving power generation dispatching mode in regional power market environment, Power Grid Technology 32(24): 16-22, 2008

[33] Research on the transaction mode and algorithm of direct power purchase by large users in the power market, Power Grid Science and Technology 32(2 1):85-90, 2008.

[34] JASP model of power planning considering environmental costs, Journal of Xi Jiaotong University 42 (8):1015-1020, 2008.

Monthly Unit Commitment and Safety Checking Algorithm for Large-scale Systems, Power System Automation 32(23):28-30, 2008.

[36] Domestic and foreign trading practice and successful experience of direct power purchase by large users, East China Electric Power 37(6):0993-0998, 2009.

......

(omitted below)

Works edited in recent years:

[1] The textbook "Fundamentals of Power Market" was published by Xi Jiaotong University Press in March 2003.

[2] Write a research report "Experimental Economics Research on Trading System in Electricity Market", published in March 2006.

[3] Write a handout "Guide to Simulation Experiment of Electricity Market Bidding", which was printed on June 5438+ 10, 2003, and has been used as a graduate student of the department and management of power industry.

Technical personnel's electricity market bidding simulation experiment teaching material, 26000 words.

[4] Participated in the revision of some chapters of Modern Power System Analysis, and was responsible for 14000 words. Published by Science Press [1] in March 2003, the national invention patent was granted in June 2007 with the patent number ZL 2004 1 0025959.7.

[2] A wind power forecasting method based on BP neural network optimized by genetic algorithm, national invention patent, published in May 20 10, application number CN200910/93820.6 [1] Research on decision-making model and method of power system operation and planning optimization, won by the Ministry of Education in 2008.