代表性论文 [1] Kang Wang, Chengfu Wang*, et al. Embedding P2P Transaction into Demand Response Exchange: A Cooperative Demand Response Management Framework for IES. Applied Energy, August 2024, Art. no. 123319. (SCI,通讯) [2] Zhenwei Zhang, Chengfu Wang*, Qiuwei Wu, Xiaoming Dong. Optimal Dispatch for Cross-regional Integrated Energy System with Renewable Energy Uncertainties: A Unified Spatial-temporal Cooperative Framework. Energy, April 2024, Art. no. 130433. (SCI,通讯) [3] Guoying Wang, Chengfu Wang*, Tianyuan Feng, Kang Wang, Wenliang Yao and Zhaosong Zhang. Day-Ahead and Intraday Joint Optimal Dispatch in Active Distribution Network Considering Centralized and Distributed Energy Storage Coordination. IEEE Transactions on Industry Applications, May-June 2024, 4832-4842(SCI,通讯) [4] Hongzhang Sheng, Chengfu Wang*, Xiaoming Dong, Ke Meng, Zhaoyang Dong. Incorporating P2P Trading into DSO’s Decision-making: A DSO-Prosumers Cooperated Scheduling Framework for Transactive Distribution System. IEEE Transactions on power system, May 2023, 2362-2375. (SCI,通讯) [5] Wenliang Yao, Chengfu Wang*, Ming Yang, et al. A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing. Applied Energy, 342, July 15, 2023, 1-24. (SCI,通讯) [6] Zhang, Z.; Wang, C.*; Chen, S.; Zhao, Y.; Dong, X.; Han, X. Multitime Scale Co-Optimized Dispatch for Integrated Electricity and Natural Gas System Considering Bidirectional Interactions and Renewable Uncertainties, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS,58,4,5317-27,2022(SCI,通讯) [7] Wang, Kang; Wang, Chengfu*; Zhang, Zhenwei; Wang, Xiaolong. Multi-Timescale Active Distribution Network Optimal Dispatching Based on SMPC,IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS ,58,2,1644-1653,MAR-APR 2022(SCI,通讯) [8] 姚文亮,王成福*,赵雨菲,张振威,管强.不确定性环境下基于合作博弈的综合能源系统分布式优化[J/OL].电力系统自动化:1-16[2022-09-09] (EI,通讯) [9] Peng Li, Chengfu Wang, Qiuwei Wu, Ming Yang. Risk Based Distributionally Robust Real-Time Dispatch Considering Voltage Security. IEEE Transactions on Sustainable Energy ( Early Access ), January 2021,Page(s): 36 – 45. (SCI) [10] Hongzhang Sheng, Chengfu Wang*, Jun Liang. Multi-timescale active distribution network optimal scheduling considering temporal-spatial reserve coordination. International Journal of Electrical Power & Energy Systems, FEB, 2021, 125: 106526. (SCI,通讯) [11] Ning Wang,Chengfu Wang*,Yuanfang Niu,Ming Yang,Yixiao Yu. A Two-stage Charging Facilities Planning Method for Electric Vehicle Sharing Systems. IEEE Transactions on Industry Applications,57,Jan-Feb 1,2021,149-157. (SCI,通讯) [12] Wang Chengfu*, Li xijuan, Zhang yumin, Dong yunhui, Dong xiaoming, Wang Mingqiang. Two stage unit commitment considering multiple correlations of wind power forecast errors. IET renewable power generation, JAN, 2021 (SCI) [13] Sheng hongzhang, Wang Chengfu*, Li Bowen, Liang Jun, Yang Ming, Dong Yunhui. Multi-timescale Active Distribution Network Scheduling Considering Demand Response and User Comprehensive Satisfaction, IEEE Transactions on industry application, vol. 57, no. 4, pp. 1995-2005, MAY-JUN. 2021. (SCI,通讯) [14] Z. Zhang, C. Wang*, H. Lv, F. Liu, H. Sheng and M. Yang, "Day-Ahead Optimal Dispatch for Integrated Energy System Considering Power-to-Gas and Dynamic Pipeline Networks," in IEEE Transactions on Industry Applications, vol. 57, no. 4, pp. 3317-3328, July-Aug. 2021, (SCI,通讯) [15] Yufei Zhao,Chengfu Wang*,Zhenwei Zhang,Huacan Lv. Flexibility Evaluation Method of Power System Considering the Impact of Multi-Energy Coupling. IEEE Transactions on Industry Applications,57,Nov-Dec 6, 2021, 5687-5697. (SCI,通讯) [16] Shuai Chen, Chengfu Wang*, Zhenwei Zhang. Multitime Scale Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Considering Multiple Correlation of Renewable Energy Sources. IEEE Transactions on Industry Applications, 57, Nov.-Dec, 2021, 5614-5625. (SCI,通讯) [17] 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) [18] 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) [19] 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) [20] 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) [21] 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) [22] 李哲,王成福(*),梁军,等.计及风电不确定性的电-气-热综合能源系统扩展规划方法[J].电网技术,2018,42(11):3477-3485.(EI,通讯) [23] 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) [24] 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) [25] 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) [26] 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) [27] 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) [28] 王成福,李熙娟,梁军,韩学山. 基于预测功率的含储能风场群优化调控方法研究. 电网技术, 2017,41(4):1253-1260. (EI) [29] 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) [30] 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) [31] 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) [32] 王成福,梁军,孙宏斌,杨福. 风电场混合无功功率补偿系统及其控制策略研究. 电机与控制学报. 2013.17(5):38-43. (EI) [33] 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) [34]张利,王成福(*),梁军,牛远方,谷峰. 风电场输出有功功率的协调分配策略研究. 电力自动化设备. 2012.32(8):101-105. (EI,通讯作者) [35] 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). [36]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). [37] 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 [6] 专利名称:考虑网络动态特性的综合能源系统日前优化调度方法及系统,王成福,梁军,授权专利号ZL201810316081.4 [7] 专利名称:考虑多风场预测误差时空相关性的储能容量优化配置方法,梁军,滕奇君,王成福,贠志皓,李荣,李勇,李笋,石鑫,授权专利号ZL201710348627.X [8] 专利名称:一种基于聚合理论的预想事故自动选择方法,梁军,刘俊杰,王成福,貟志皓,李勇,孔平,何召慧,授权专利号ZL201710231723.6 [9] 专利名称:一种基于分层MPC的风电无功电压协调控制系统,王成福,张哲,董晓明,梁军,授权专利号ZL201810724744.6 [10] 专利名称:风电并网电压分层协调控制方法、系统、介质及设备,王成福,张哲,董晓明,杨明, ZL201910550917 |