代表性论文 [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, 通讯) [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, 通讯) [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, 通讯) [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, 通讯) [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] 张哲, 王成福,董晓明,杨明,梁军,张豪. 基于分层模型预测控制的风电场电压协调控制策略. 电力系统自动化. 2019, 43(EI, 通讯作者) [12] 董帅,王成福(*),梁军,梁正堂,董晓明,李华东. 计及电转气运行成本的综合能源系统多目标日前优化调度,电力系统自动化. 2018, 42(11):8-16. (EI, 通讯作者) [13] 董帅,王成福(*),张利,梁军,徐士杰. 计及网络动态特性的电-气-热综合能源系统日前优化调度,电力系统自动化2018, 42(13):12-19. (EI通讯作者) [14] 王成福,王昭卿,孙宏斌,梁军等. 考虑预测误差时序分布特性的含风电机组组合模型. 中国电机工程学报. 2016. 36(15): 4081-4090. (EI) [15] 王成福,梁军,张利,韩学山. 考虑风功率分布规律的风电场无功补偿容量优化. 电力系统自动化. 2012.36(14):119-124. (EI) [16] 王成福,梁军,冯江霞,牛远方,杨福. 故障时刻风电系统无功电压协调控制策略研究.电力自动化设备. 2011. 31(9):15-21. (EI). [17] 王成福,梁军,张利,贠志浩,牛远方,韩学山. 基于机会约束规划的风电场预测功率分级处理. 电力系统自动化. 2011.35(17):14-19.(EI). [18] 王成福,梁军,张利,韩学山. 基于静止同步补偿器的风电场无功电压控制策略. 中国电机工程学报. 2010.30(25):23-28.(EI). 代表性专利 [1] 专利名称:基于粒子群算法的风电场储能容量控制方法,王成福,梁军,专利号:ZL201210172086.7 [2] 专利名称:计及风功率分布规律的风电场无功补偿容量优化控制方法,王成福,梁军,专利号ZL2012101172278.8 [3] 专利名称:考虑预测误差时序分布的含风电机组组合模型建立方法,王成福,王利平,梁军,专利号ZL201510750398.5 [4]专利名称:兼顾风场分散性与机组差异性的风电场动态等值,王成福,梁军,专利号ZL201510205252.2 [5]专利名称:基于融合信息的风电场群有功优化调控方法,王成福,李哲,董晓明,专利号ZL201610873061.8 其它详细信息可参见个人主页。 |