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 Jiangxia，Liang Jun，Zhang 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 |
[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 Source，Project 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. |
