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Chunqiu Wan



TitleSenior Engineer

E-mailB2050765@ustb.edu.cn

OfficeRoom No. 505, Mechanical and Electrical Information Building, University of Science and Technology Beijing

Education

2007.09-2011.06, Tsinghua University, Major in Control Science and Engineering, Doctor Degree

2002.09-2005.03, Beijing Institute of Technology, Major in Control Theory and Control Engineering, Master Degree

1997.12-2000.12, Hebei University of Science and Technology, Major in Mechatronics Engineering, Bachelor Degree

1995.09-2000.07, Xingtai Institute of Vocational Technology, Major in Mechatronics Engineering

Work Experience

2020.03-Now, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Senior Engineer

2015.06-2020.03, CECEP Wind-power Corporation Co., Ltd., Senior Engineer

2011.08-2015.05, CECEP Wind-power Corporation Co., Ltd., Engineer

2008.02-2011.06, Department of Automation, Tsinghua University, Assistant Teacher & Researcher (concurrent post)

2008.06-2008.08, Beijing Qingyun Aviation Instrument Co., Ltd., Assistant Engineer (concurrent post)

2005.07-2005.09, China Olympic Sports Administration Center for the disabled, Assistant Director

2000.09-2002.08, Grain Bureau of Qinghe County, Hebei Province,  Office Clerk

Research InterestsStudy of Motor Control Technology, Study of Renewable Energy Power System

Selected Publications

[1] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Optimal micro-siting of wind farms by particle swarm optimization. Advances in Swarm Intelligence, Lecture Notes in Computer Science, 2010. (SCI)

[2] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Gaussian particle swarm optimization with differential evolution mutation. Advances in Swarm Intelligence, Lecture Notes in Computer Science, 2011. (SCI)

[3] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Dynamic-evaluation based particle swarm optimization and wind farm micro-siting. Control Theory & Applications, 28(4), 2011. (EI)

[4] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Optimal micro-siting of wind farm based on Weibull distribution. Journal of Solar Energy, 32(7), 2011. (EI)

[5] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Wind farm micro-siting based on particle swarm optimization with static evaluation. Journal of Solar Energy, 32(12), 2012. (EI)

[6] Chunqiu Wan, Jun Wang, Geng Yang, Xiaolan Li and Xing Zhang. Optimal micro-siting of wind turbines by genetic algorithms based on improved wind and turbine models. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, 2009, Shanghai, China. (EI)

[7] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Particle swarm optimization with uniform initialization and Gaussian mutation and its application to wind farm micro-siting. 49th IEEE Conference on Decision and Control, Atlanta, USA, 2010. (EI)

[8] Chunqiu Wan and Zuyu Wu. Accuracy allocation of the tank fire control system based on the “Monte Carlo” optimization method. Journal of Manufacturing Automation, 26(supplement), 2004.

[9] Chunqiu Wan, Jun Wang, Geng Yang and Xing Zhang. Optimal siting of wind turbines using real-coded genetic algorithms. Proceedings of European Wind Energy Association Conference and Exhibition, Marseille, France, 2009.

[10] Chunqiu Wan, Geng Yang, Jun Wang and Xiaolan Li. Review of study on wind farm micro-siting optimization. 200th Academic Forum for doctoral students of Tsinghua University.

[11] Zhijing Liang and Chunqiu Wan. Study of the loss level evaluation of the wind farm and the related consideration. Production operation management of Wind power in China (2016).

[12] Zhijing Liang and Chunqiu Wan. Investigation of the wind farm power efficiency evaluation method based on electric quantity multilateral transaction. Wind Energy, 76(6), 2016.

Selected Projects

[1] National Pre-research Project of China during the "10th Five-Year Plan ": Error analysis and accuracy allocation of the tank fire control system, 2002.05-2005.03, Project participants.

[2] National Natural Science Foundation of China: Study of the wind energy tracking problem of the wind power system, 2008.03-2009.12, Project participants.

[3] National High-tech R&D Program of China (863 Program): Study of the wind farm micro-siting technology, 2008.03-2011.06, Main participants.

[4] National Natural Science Foundation of China: Study of the wind farm micro-siting based on particle swarm optimization, 2009.05-2011.06, Main participants.

[5] Enterprise Project (JNFD-2014003): Study of the XinJiang wind farm electricity characteristics, 2014.05-2015.11, Project leader.

[6] Enterprise Project (cecep-kj-2015-006): Study and its application of wind turbines effectiveness evaluation and performance optimization, 2015.03-2019.03, Project leader.

[7] Enterprise Project (JNFD-201913): Study and its implement of the optimization upgrade of the wind farm production maintenance information system, 2019.01-2020.03, Project leader.

Honors & Awards