[1] Licheng Wang, Ruifeng Yan, and Tapan Saha, Voltage Management for Large Scale PV Integration into Weak Distribution Systems. IEEE Transactions on Smart Grid, 2018, 9(5): 4128-4139. (SCI一区)
[2] Licheng Wang, Feifei Bai, Ruifeng Yan, Tapan Saha, Real-Time Coordinated Voltage Control of PV Inverters and Energy Storage for Weak Networks With High PV Penetration. IEEE Transactions on Power Systems, 2018, 33(3): 3383-3395. (SCI一区)
[3] Licheng Wang, Ruifeng Yan, Tapan Saha, Voltage Regulation Challenges With Unbalanced PV Integration in Low Voltage Distribution Systems and the Corresponding Solution. Applied Energy, 2019, 256. (SCI一区)
[4] Licheng Wang, Ruifeng Yan, Feifei Bai, Tapan K Saha, Kai Wang, A Distributed Inter-Phase Coordination Algorithm for Voltage Control with Unbalanced PV Integration in LV Systems. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2687-2697. (SCI一区)
[5] Licheng Wang, Yu Yang, Huajie Gu, Youbing Zhang, Chun Wei, Shijie Cheng, Bottleneck Generator Identification and the Corresponding N-1 Frequency Security Constrained Intraday Generator Dispatch. IEEE Transactions on Power Systems, 2023, 38(1): 739-752. (SCI一区)
[6] Licheng Wang, Luochen Xie, Yu Yang, Youbing Zhang, Kai Wang, Shijie Cheng, Distributed Online Voltage Control with Fast PV Power Fluctuations and Imperfect Communication. IEEE Transactions on Smart Grid, 2023, 14(4): 3681-3695. (SCI一区)
[7] Licheng Wang, Tao Wang, Gang Huang, Kai Wang, Ruifeng Yan, Youbing Zhang, Softly Collaborated Voltage Control in PV Rich Distribution Systems with Heterogeneous Devices. IEEE Transactions on Power Systems, 2024, 39(4): 5991-6003. (SCI一区)
[8] Licheng Wang, Jun Ren, Gang Huang, Luochen Xie, Changsen Feng, Youbing Zhang, Identifying the Largest RoCoF and Its Implications. IEEE Transactions on Power Systems, accepted, 2024. (SCI一区)
[9] 王力成, 杨宇, 杨晓东, 张有兵, 柴谦益, 刘主光, “考虑非完美通讯的高光伏渗透率配电网实时电压协同控制”, 中国电机工程学报, 2022 Vol. 42 (11): 4027-4039.
[10] 王力成, 邓宝华, 黄刚, 戴汉扬, 李艳, 张有兵,“知识-数据混合驱动的电网频率协同控制算法”, 中国电机工程学报, 2022 Vol. 42 (23): 8523-8533.
[11] Zhenhua Cui, Licheng Wang, Qiang Li, Kai Wang, A Comprehensive Review on the State of Charge Estimation for Lithium‐ion Battery Based on Neural Network. International Journal of Energy Research, 2021, 46: 5423-5440.
[12] Dezhi Li, Licheng Wang, Chongxiong Duan, Qiang Li, Kai Wang, Temperature Prediction of Lithium‐ion Batteries Based on Electrochemical Impedance Spectrum: A Review. International Journal of Energy Research, 2022, 46: 10372-10388.
[13] Yanshuo Liu, Licheng Wang, Dezhi Li, Kai Wang, State-of-health Estimation of Lithium-ion Batteries Based on Electrochemical Impedance Spectroscopy: A Review. Protection and Control of Modern Power Systems, 2023, 8(41): 1-17.
[14] Licheng Wang, Ruifeng Yan, Tapan Kumar Saha, Voltage Regulation for Distribution Systems with Uneven PV Integration in Different Feeders, Proceedings of the IEEE PES General Meeting, 2017, Chicago, IL, USA, 2017.
[15] Licheng Wang, Yifei Wang, Junxi Tang, Chuangxin Guo, An economic evaluation model of transformers considering outage consequence. Proceedings of the IEEE PES General Meeting, 2014, Washington DC, USA, 2014.
[16] Yinuo Huang, Licheng Wang, Kai Wang, Investigation of Var Compensation Schemes in Unbalanced Distribution Systems. Complexity, 2019: p. 1-13. (SCI二区,通讯作者)
[17] Ruifeng Yan, Yong Li, Tapan Kumar Saha, Licheng Wang, Mohammed Imran Hossain, Modeling and Analysis of Open-Delta Step Voltage Regulators for Unbalanced Distribution Network With Photovoltaic Power Generation. IEEE Transactions on Smart Grid, 2018, 9(3): p. 2224-2234. (SCI一区)
[18] Yinuo Huang, Chuangxin Guo, Yi Ding, Licheng Wang, Bingquan Zhu, Lizhong Xu, A Multi-Period Framework for Coordinated Dispatch of Plug-in Electric Vehicles. Energies, 2016, 9(5). (SCI三区)
[19] Chun Wei,Zhuzheng Shen, Dongliang Xiao, Licheng Wang,Xiaoqing Bai, Haoyong Chen, “An Optimal Scheduling Strategy for Peer-to-Peer Trading in Interconnected Microgrids Based on Ro and Nash Bargaining”, Applied Energy, 2021, 295. (SCI一区)
[20] Yanting Zhou, Yanan Wang, Kai Wang, Le Kang, Fei Peng, Licheng Wang, Jinbo Pang, Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors. Applied Energy, 2020, 260. (SCI一区)
[21] Dezhi Li, Shuo Li, Shubo Zhang, Jianrui Sun, Licheng Wang, and Kai Wang, “Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine,” Energy, vol. 250, 2022. (SCI一区)
[22] 黄一诺, 郭创新, 王力成, 暴英凯, 戴赛, 丁强, 考虑用户满意度的电动汽车分群调度策略, 电力系统自动化, 39(17), 2015. (EI期刊)