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Wang Chengfu
发布时间:2018年11月06日 16:33    编辑:    点击:[]

ResearchInstitute

Electrical   Power System and its Automation

Academicstatus

IEEE Member

Member of   Chinese Society for Electrical Engineering

Personal message

Name

Wang   Chengfu

Gender

male

Date   of Birth

1984.1.8

Hometown

Dalian,Liaoning   Provinve

Professional   Title

Research   Assistant

Position

Master   Tutor

Telephone

13869196525

Email

wangcf@sdu.edu.cn

WorkingExperience

2014.7-Now Working in Electrical Power system and its   automation, Shandong University, Research Assistant.

2016.11-2017.11   Kyoto University Japan, Visiting researcher

2012.7-2014.7 Working in Post-Doctoral Research Center of   Electrical Power system and its automation, Tsinghua University, Post-Doctor.

2008.9-2012.7 Shandong University, Electrical Power system and   its automation,Studying for doctor degree.

2006.9-2008.7 Harbin Institute of Technology, Electrical   Engineering and its automation, Studying for master degree.

2002.9-2006.7 North East Dianli University, Electrical   Engineering and its automation, Studying for bachelor degree.

Research Direction

Power   system analysis

Scheduling   and control of renewable energy

Integrated   energy system

Publications

Papers

[1] Chengfu   Wang, Xijuan Li, Zhaoqing Wang, Xiaoming Dong, Zhengtang Liang, Xiaoyi Liu,   Jun Liang, Xueshan Han. Day-ahead unit commitment method considering time   sequence feature of wind power forecast error, Electrical Power and Energy   Systems 98 2018 156-166(SCI)

[2] Chengfu   Wang, Zhengtang Liang, Jun Liang, Qijun Teng, Xiaoming Dong, Zhaoqing Wang.   Modeling the temporal correlation of hourly day-ahead short-term wind power   forecast error for optimal sizing energy storage system, Electrical Power and   Energy Systems 98 2018 373-381(SCI)

[3] DONG Shuai,WANG Chengfu,LIANG Jun, et   al.Multi-objective Optimal Day-ahead Dispatch of Integrated Energy System   Considering Power-to-gas Operation Cost[J].Automation of Electric Power   Systems,2018,42(11):8-15. DOI: 10.7500/AEPS20170721003.(EI,corresponding   author,Chinese)

[4]DONG Shuai,WANG Chengfu,XU Shijie, et   al.Day-ahead Optimal Scheduling of Electricity-Gas-Heat Integrated Energy   System Considering Dynamic Characteristics of Networks[J].Automation of   Electric Power Systems,2018,42(13):12-19. DOI:   10.7500/AEPS20180115006.(EI,corresponding author,Chinese)

[5]Wang Chengfu, Li Xijuan, Liang Jun, Han Xueshan, et al.   Optimal Dispatch and Control of Active Power for Wind Farm Cluster Including   Storages Considering The Forecasting Power[J]. Power System Technology,   2017,41(4):1253-1260.(EI)

[6]Wang   Chengfu, Wang Zhaoqing, Sun Hongbin, Liang Jun,et al.Model of unit commitment   with wind farm considering time series characteristic of wind power forecast   error[J].Proceeding of the CSEE, 2016. 36(15): 4081-4090.(EI)

[7] Liang   ZT, Liang J, Wang CF, et al. Short-term wind power combined forecasting based   on error forecast correction [J]. Energy Conversion and Management, 2016,   119: 215-226. (SCI)

[8] Z.   Liang, J. Liang, L. Zhang, C. Wang, Z. Yun and X. Zhang, “Analysis of   multi-scale chaotic characteristics of wind power based on Hilbert–Huang   transform and Hurst analysis,” Appl. Energy, vol. 159, pp 51-61, 2015. (SCI)

[9] Dong   Xiaoming, Wang Chengfu. Calculation of Power Transfer Limit Considering   Electro-Thermal Coupling of Overhead Transmission Line. IEEE Transactions on   Power Systems.2014,29(4): 1503-1511. (SCI)

[10]Feng   JiangxiaLiang JunZhang feng, Wang Chengfu Sun Bohao. An Optimization Calculation Method of   Wind Farm Energy Storage Capacity. Automation of Electric Power Systems,   2013, 37(1):90-95. (EI, Chinese)

[11]Wang   Chengfu, Liang Jun, Sun Hongbin, Yang Fu. Hybrid reactive power compensation   system and its control strategy for wind farm. Electric Machines and Control.   2013.17(5): 38-43. (EI corresponding author, Chinese)

[12]Wang   Chengfu, Liang Jun, Zhang Li, Feng Jiangxia, Han Xueshan. Optimization   Decision Method of Wind Farm Reactive Power Compensation Capacity Considering   Wind Power Distribution.Automation of Electric Power Systems, 2012,   36(14):119-124. (EI indexed, Chinese)

[13]Wang   Chengfu, Liang Jun, Zhang Li, Niu Yuanfang, Yun Zhihao, Han Xueshan.   Classified Treatment of Wind Power Predictive Power Based on Chance   Constrained Programming.

Automation   of Electric Power Systems, 2011, 35(17): 14-19. (EI indexed, corresponding   author, Chinese)

[14]Wang   Chengfu, Liang Jun, Zhang Li, Niu Yuanfang, Yun Zhihao, Han Xueshan.   Classified Treatment of Wind Power Predictive Power Based on Chance   Constrained Programming.Automation of Electric Power Systems, 2011, 35(17):   14-19. (EI indexed, corresponding author,Chinese)

[15]Wang   Chengfu, Liang Jun, Zhang Li, Han Xueshan. Reactive power and voltage control   strategy for wind farm based on STATCOM. Proceedings of the CSEE.   2010.30(25):23-28. (EI indexed, corresponding author, Chinese)

Patents

[1] Energy Storage capacity Control Method of Wind   Farm Based on Particle Swarm Optimization algorithm, Wang Chengfu, Liang   Jun,201210172086.7

[2] Optimization Control Method of Wind Farm Reactive   Power Compensation Capacity Considering Wind Power Distribution, Wang   Chengfu,Liang Jun,2012101172278.8

[3] Modeling method of unit commitment with wind farm   considering time series characteristic of wind power forecast error, Wang   Chengfu, Wang Liping, Liang Jun, 201510750398.5

UndergoingResearchProducts

[1] National Natural Science Fund of China, Study on   coordinated control theory of wind farm voltage considering the influence of   power system support ability. Project leader,2016-2019.

[2] Research Award Fund for Outstanding Young   Scientists in Shandong Province. Theory of Self-discipline Dispatch and   Control for Renewable Energy Generator Based on Excavating Uncertainty   Characteristic. Project leader, 2015-2017.

[3] Basic Scientific Research Fund of Shandong   University. Method Research for Multiple Dimensions Regulation Based on   Learning Theory. Project leader, 2014-2017.

[4] China Postdoctoral Science Foundation. Method   Study for Gradual Dispatch and Control of Intermittent Power SourceProject leader, 2012-2014.

[5] The Major State Basic Research Development   Program of China (973 Program), “ Foundational Research of Smart Grid Energy   Management and Operation Control for Source-Grid-Load Synergy, Participator,   2013-2018.

[6] Integrated demonstration Project of Smart Grid   based on low carbon ofPower Grid,Participator, 2013-2015.

[7] National Natural Science Fund of China, Theory of   Dispatch and Control for Gradual Learning and Grid Aggregating, Participator, 2012-2015.

[8] Natural   Science Fund of Shandong Province,Research on Coordination Control Theory   between intermittent Power Sources and Regional Network, Participator,2011-2014.

Academic types

Teaching   and scientific research

 

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