Representative papers [1] Xi Chen, Chengfu Wang, Qiuwei Wu, Xiaoming Dong,Ming Yang, Suoying He. Optimal Operation of Integrated Energy System Considering Dynamic Heat-gas Characteristics and Uncertain Wind Power. Energy, 198, MAY 1 2020, 1-17(SCI, Communication) [2] Zhe Li; Chengfu Wang; Bowen Li;Jinyu Wang; Penghui Zhao; Wenli Zhu; Ming Yang; Ying Ding. Probability-Interval based Optimal Planning of Integrated Energy System with Uncertain Wind Power. IEEE Transactions on Industry Applications, 18 Jan.-Feb. 2020, Page 4-13(SCI, Communication) [3] Chengfu Wang; Shuai Dong; Shijie Xu; Ming Yang; Suoying He; Xiaoming Dong; Jun Liang. Impact of Power-to-Gas Cost Characteristics on Power-Gas-Heating Integrated System Scheduling. ACCESS, Volume 7: 2019, Page(s):17654 – 17662. (IF 4.098) [4] Chengfu Wang*, Qijun Teng, Xiaoyi Liu, Feng Zhang, Suoying He, Zhengtang Liang, Xiaoming Dong. Optimal Sizing of Energy Storage Considering the Spatial-Temporal Correlation of Wind Power Forecast Errors IET renewable power generation. Source: Volume 13, Issue 4, 18 March 2019, p. 530 – 538. (IF 3.605) [5] 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) [6] 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) [7] Xiaoming Dong, Chengfu Wang(*), Zhihao Yun, Xueshan Han, Jun Liang, Yiming Wang, Penghui Zhao. Calculation of optimal load margin based on improved continuation power flow model. International journal of Electrical Power and Energy Systems 94 (2018) 225–233(SCI, Communication) [8] 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, Communication) [9] 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) [10] 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) [11] Zhang Zhe, Wang Chengfu, Dong Xiaoming, Yang Ming, Liang Jun, Zhang Hao. Wind farm voltage coordinated control strategy based on hierarchical model predictive control. Power system automation. 2019, 43(EI, Corresponding author) [12] Dong Shuai,Wang Chengfu(*), Liang Jun, Liang Zhengtang, Dong Xiaoming, Li Huadong. Multi-objective day-ahead optimal dispatch of integrated energy systems taking into account power-to-gas operation costs，Power system automation. 2018, 42(11):8-16. (EI, Corresponding author) [13] Dong Shuai,Wang Chengfu(*), Zhang Li, Liang Jun, Xu Shijie. Electricity taking into account network dynamics-Qi-Thermal integrated energy system optimized dispatching，Power system automation2018, 42(13):12-19. (EICorresponding author) [14] Wang Chengfu, Wang Zhaoqing, Sun Hongbin, Liang Jun, etc.. A combination model including wind turbines considering the time series distribution characteristics of prediction errors. Chinese Journal of Electrical Engineering. 2016. 36(15): 4081-4090. (EI) [15] Wang Chengfu, Liang Jun, Zhang Li, Han Xueshan. Optimization of reactive power compensation capacity of wind farms considering wind power distribution rules. Power system automation. 2012.36(14)：119-124. (EI) [16] Wang Chengfu, Liang Jun, Feng Jiangxia, Niu Yuanfang, Yang Fu. Research on reactive power and voltage coordinated control strategy of wind power system at fault time.Power automation equipment. 2011. 31(9)：15-21. (EI)． [17] Wang Chengfu, Liang Jun, Zhang Li, Yun Zhihao, Niu Yuanfang, Han Xueshan. Wind farm forecast power hierarchical processing based on chance constrained programming. Power system automation. 2011.35(17):14-19.(EI)． [18] Wang Chengfu, Liang Jun, Zhang Li, Han Xueshan. Wind farm reactive power and voltage control strategy based on static synchronous compensator. Chinese Journal of Electrical Engineering. 2010.30(25):23-28.(EI)． RepresentativeSexPatent [1] Patent name: Wind farm energy storage capacity control method based on particle swarm algorithm，Wang Chengfu，Liang Jun，Patent number:ZL201210172086.7 [2] Patent name: Wind farm reactive power compensation capacity optimization control method taking into account wind power distribution rules，Wang Chengfu，Liang Jun，Patent numberZL2012101172278.8 [3] Patent name: Method for establishing a combination model including wind turbines considering the time series distribution of prediction errors，Wang Chengfu，Wang Liping，Liang Jun，Patent numberZL201510750398.5 [4]Patent name: Wind farm dynamic equivalent taking into account wind farm dispersion and unit differences，Wang Chengfu，Liang Jun，Patent numberZL201510205252.2 [5]Patent name: Wind farm group active power optimization and control method based on fusion information，Wang Chengfu，Li Zhe，Dong Xiaoming，Patent numberZL201610873061.8 Other details can be found on the personal homepage. |
Main projects undertaken as project leader include: [1] Shandong University Interdisciplinary Cultivation Project，Research on the collaborative optimization dispatch theory of regional energy interconnection system, project leader,2018-2020 [2] Regional integrated energy system optimization operation simulation experiment，Wang Chengfu，2019，The Ministry of Education’s second batch of industry-university cooperation collaborative education projects，Ministry of Education, project leader,2019-2020 [3] National Natural Science Foundation of China,Research on the theory of wind farm voltage coordination control taking into account the impact of grid support capacity, project leader,2016-2019 [4] Shandong Province Outstanding Young and Middle-aged Scientists Research Award Fund，Presiding the research on self-regulation theory of renewable energy power generation based on uncertainty feature mining,Project Leader, 2015-2017. [5] Shandong University Basic Scientific Research Business Funding Project,Research on the progressive learning control method of intermittent power flow under multi-dimensional conditions, project leader,2014-2017. [6] China Postdoctoral Science Foundation General Project，Research on multi-dimensional progressive control method of intermittent power flow, project leader,2013-2014. [7] National Key Basic Research Program (973Plan) Project，Basic research on smart grid energy management and operation control of source-grid-load collaboration，Ministry of Science and Technology，Project unit leader，2013-2017. [8] National Science and Technology Support Plan Project，Smart grid comprehensive demonstration project characterized by low carbonization of the grid，Project unit leader，2013-2015. [9] State Grid Shandong Electric Power Company，Research on key technologies for collaborative optimal configuration and operation of multiple types of distributed energy storage in comprehensive energy supply scenarios, project leader,2019-2020 [10] State Grid Shandong Electric Power Company，Analysis of typical characteristics of multiple types of distributed resources and research on collaborative optimization scheduling methods under different network structures, project leader,2019-2020 |
