王怀智      副教授

性别:

邮箱: whzscut@gmail.com

办公室:

人才称号:

最终学位: 博士(PhD)

办公电话:

导师资格: 硕士生导师

研究领域:

(1)无人驾驶与三维重建;(2)医疗机器人与计算机视觉;(3)电磁暂态与机电暂态仿真。
欢迎自动化、机械、电气、计算机等专业硕士生自荐,请邮箱(whzscut@gmail.com)联系(请确认选择该导师再联系)。

主讲本科课程:

微机原理与接口技术;DSP技术;智能控制基础;电机拖动;机器视觉

主讲研究生课程:

系统工程

教育背景:

1. 2012.09-2015.06,博士

工作履历:

1. 自工作以来:深圳大学, 自动化系

主持项目:

(11) 粪便样本标准化检测之预处理模块开发,2023.05-2023.08;
(10) 重力储能经济性和风险分析研究,2023.01-2023.12;
(9) 螺丝机二维视觉定位算法与机械臂引导系统研究,2022.07-2023.07;
(8) 台风极端天气下沿岸交直流混联电力系统暂态稳定随机跳变紧急控制理论与方法研究,2022.01-2025.12;
(7) 含大规模海上风电的交直流混联系统故障穿越机理与控制技术研究,2021.06-2023.06;
(6) 交直流混联电力系统电压和频率异常穿越机理研究,2021.01-2023.12;
(5) 交直流混联电力系统电磁暂态仿真研究,2020.01-2022.12;
(4) 含多端直流输电的深圳电力系统运行振荡风险分析及抑制策略,2020.01-2022.12;
(3) 电力系统运行振荡规律分析,2019.09-2019.12。
(2) 电力系统频率动态交互模型及高维目标深度协同控制研究,2018.01-2020.12;
(1) 深圳大学校启动项目,基于新能源区间预测的智能电网自动发电控制研究,2016.06-2018.06。

代表期刊论文 :

[1] Huaizhi Wang et al, Deep belief network based deterministic and probabilistic wind speed forecasting approach, Applied Energy, 2016.11.15, 182: 80~93.(被引230次,ESI前0.1%热点论文,ESI前1%高被引论文,获Applied Energy年度高被引论文奖,中科院JCR大类一区、小类一区,顶级期刊,深度学习领域)
[2] Huaizhi Wang, et al, Deep learning based ensemble approach for probabilistic wind power forecasting, Applied Energy, 2017.2.15, 2017(188): 56~70.(被引285次,ESI前1%高被引论文,获Applied Energy年度高被引论文奖,中科院JCR大类一区、小类一区,顶级期刊,深度学习领域)
[3] Huaizhi Wang, et al. A review of deep learning for renewable energy forecasting system [J], Energy Conversion and Management, 2019, 198: 111799. (被引81次,ESI前1%高被引论文,中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[4] Huaizhi Wang, et al, GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system, Energy Conversion and Management, 2017.12.1, 202: 57~73. (被引10次,中科院JCR大类一区、小类一区,顶级期刊, 能源调度领域)
[5] Huaizhi Wang, et al, Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network, Energy Conversion and Management, Volume 153, 2017, Pages 409-422. (被引57次,中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[6] Huaizhi Wang, et al. Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks [J], IEEE Transactions on Industrial Informatics, 2018, 14 (11): 4766-4778. (被引35次,中科院JCR大类一区、小类一区,顶级期刊,信息科学领域)
[7] Huaizhi Wang, et al. Dynamic Data Injection Attack Detection of Cyber-Physical Power Systems with Uncertainties [J], IEEE Transactions on Industrial Informatics, 15 (10): 2019. (中科院JCR大类一区、小类一区,顶级期刊,信息科学领域)
[8] Huaizhi Wang, et al. Echo state network based ensemble approach for wind power forecasting [J], Energy Conversion and Management, 2019, 201: 112188. (中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[9] Huaizhi Wang, et al. Deep Learning Aided Interval State Prediction for Improving Cyber Security in Energy Internet [J], Energy, 2019, 174: 1292-1304. (中科院JCR大类二区、小类一区,顶级期刊,深度学习领域)
[10] Huaizhi Wang, et al. Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack [J], Energy, 2019, 188:116036. (中科院JCR大类二区、小类一区,顶级期刊,深度学习领域)
[11] Huaizhi Wang, et al. Multiobjective Reinforcement Learning-Based Intelligent Approach for Optimization of Activation Rules in Automatic Generation Control [J], IEEE ACCESS, 2019, 7: 17480 - 17492.(中科院JCR大类二区,控制科学领域)
[12] Huaizhi Wang, et al. Dynamic Equivalent Based Reliability Evaluation of Distribution Systems with DGs, IET Generation Transmission & Distribution, 2016.3.15, 101(32): 78~89.(中科院JCR大类三区,可靠性领域)
[13] Huaizhi Wang, et al. Recursive Method for Distribution System Reliability Evaluation[J], Energies, 2018, 11(10): 2681.(中科院JCR大类三区,可靠性领域)
[14] Huaizhi Wang, et al, Probabilistic Wind Power Forecasting Based on Spiking Neural Network, Energy, 2020, 117072.(中科院JCR大类二区、小类一区,顶级期刊,机器学习领域)
[15] Huaizhi Wang, et al, Taxonomy research of artificial intelligence for deterministic solar power forecasting, Energy Conversion and Management, Volume 214, 2020, 112909.(中科院JCR大类一区、小类一区,ESI前1%高被引论文,顶级期刊,深度学习领域)
[16] Huaizhi Wang, et al. Operating State Reconstruction in Cyber Physical Smart Grid for Automatic Attack Filtering [J], IEEE Transactions on Industrial Informatics, 2020, (accepted). (中科院JCR大类一区、小类一区,顶级期刊,信息科学领域)
[17] Huaizhi Wang, et al. Advanced Adaptive Frequency Support Scheme for DFIG under Cyber Uncertainty [J], Renewable Energy, 2020, (accepted). (中科院JCR大类一区、小类一区,顶级期刊,风力发电领域)
[18] Huaizhi Wang, et al, Solar Irradiance Forecasting Based on Direct Explainable Neural Network, Energy Conversion and Management, accepted for publication.(中科院JCR大类一区、小类一区,顶级期刊,深度学习领域)

通信作者:
[1] T. Wu, W. Xue, Huaizhi Wang*, et al., "Extreme Learning Machine-Based State Reconstruction for Automatic Attack Filtering in Cyber Physical Power System," IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2020.2984315. (中科院JCR大类一区、小类一区,顶级期刊,IF: 9.112);
[2] G. Wang, X. Zhang,  Huaizhi Wang*, et al., "Robust Planning of Electric Vehicle Charging Facilities With an Advanced Evaluation Method," IEEE Transactions on Industrial Informatics, vol. 14, no. 3, pp. 866-876, March 2018, doi: 10.1109/TII.2017.2748342. (中科院JCR大类一区、小类一区,顶级期刊,IF: 7.377);
[3] Sen Xie, Huaizhi Wang*, et al, A hierarchical data reconciliation based on multiple time-delay interval estimation for industrial processes, ISA Transactions, 2020, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2020.06.001. (中科院JCR大类二区、小类二区,顶级期刊,IF: 4.305);
[4] S. Aziz, Huaizhi Wang*, et al, "Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation," IEEE Access, vol. 7, pp. 25535-25546, 2019, doi: 10.1109/ACCESS.2019.2900047. (中科院JCR大类二区、小类二区,IF: 3.745);
[5] G. Li, Huaizhi Wang*, et al, Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach. Energies 2019, 12, 2538. (中科院JCR大类三区);
[6] X. Zhang, Huaizhi Wang*, et al, GPNBI inspired MOSDE for electric power dispatch considering wind energy penetration, Energy, Volume 144, 2018, Pages 404-419. (中科院JCR大类二区、小类一区,顶级期刊,IF: 6.082);
[7] S. Aziz, J. Peng, Huaizhi Wang*, et al, "ADMM-Based Distributed Optimization of Hybrid MTDC-AC Grid for Determining Smooth Operation Point," IEEE Access, vol. 7, pp. 74238-74247, 2019, doi: 10.1109/ACCESS.2019.2919700. (中科院JCR大类二区、小类二区,顶级期刊,IF: 3.745);
[8] Y. Liu, S. Jiang, W. Liang, Huaizhi. Wang*, et al, "Modeling and Design of the Magnetic Integration of Single- and Multi-Stage EMI Filters," IEEE Transactions on Power Electronics, vol. 35, no. 1, pp. 276-288, Jan. 2020, doi: 10.1109/TPEL.2019.2915804. (中科院JCR大类一区、小类一区,顶级期刊);
[9] X. Zhang, K.W. Chan, Huaizhi Wang*, et al, Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations, Energy, Volume 176, 2019, Pages 249-264. (中科院JCR大类二区、小类一区,顶级期刊,IF: 6.082);
[10] X. Zhang, K. W. Chan, H. Li, Huaizhi Wang*, et al, "Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model," IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2020.2975134. (中科院JCR大类一区、小类一区,顶级期刊);
[11] B. Zhou, H. Duan, Q. Wu, Huaizhi Wang*, et al, Short-term prediction of wind power and its ramp events based on semi-supervised generative adversarial network, International Journal of Electrical Power & Energy Systems, Volume 125, 2021, 106411. (中科院JCR大类二区);
[12] B. Zhou, Y. Meng, W. Huang, Huaizhi Wang*, et al, Multi-energy net load forecasting for integrated local energy systems with heterogeneous prosumers, International Journal of Electrical Power & Energy Systems, Volume 126, Part A, 2021, 106542.

代表会议论文:

[1] J. Ruan, H. Wang*, S. Aziz, G. Wang, B. Zhou and X. Fu, "Interval state estimation based defense mechanism against cyber attack on power systems," 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, 2017, pp. 1-5.
[2] H Yi, H Wang, R Zhang, J Peng, Forecasting Photovoltaic Power using a Convolutional Neural Network and the Wavelet Transformation, DEStech Transactions on Computer Science and Engineering, vol. PP, no. 99, pp. 1-1.
[3] Y. Liu, Z. Song, H. Wang, G. Wang, J. Peng and S. Yin, "Comparative evaluation of WBG and Si power devices for the flyback converter," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 964-969.
[4] Y. Liu, D. Jin, H. Wang, G. Wang, J. Peng and S. Yin, "Double closed-loop control strategy of LCL three-phase grid-connected inverter," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 1107-1112.
[5] Y. Liu, Jianchun Peng, Guibin Wang, Huaizhi Wang and K. Y. See, "LCL filter design and analysis of grid-connected converter for power quality and EMI compliance," 2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC), Shenzhen, 2016, pp. 142-144.
[6] Yitao Liu, Dianheng Jin, Huaizhi Wang, Guibin Wang, Jianchun Peng and Y. Shan, "Magnetic components design of LCL filter in the grid connected power converter," 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia), Kaohsiung, 2017, pp. 1189-1193.
[7] Y. Liu, Jianchun Peng, Guibin Wang, Huaizhi Wang and K. Y. See, "THD and EMI performance study of foil-wound inductor of LCL filter for high power density converter," 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, 2016, pp. 3467-3471.

代表专利:

(1) 一种电力系统区间状态估计方法,王怀智...,2019

获得荣誉:

• 深圳市海外高层次人才孔雀计划C类, 2018;
• 深圳市南山区领航人才, 2018;
• Applied Energy 年度高被引论文奖(两次),2018;
• 深圳大学论文一等奖多次,2017/2018/2019;
• IEEE PowerCon 国际最佳会议论文奖,2018;
• IET APSCOM 国际最佳会议论文奖,2018;
• IEEE T Smart Grid 国际年度最佳审稿人,2018/2019;
• 《电力系统保护与控制》优秀青年编委,2020。

主要学术兼职:

• 国际IEEE会员;
• 国际IEEE PES 会员;
•《电力系统保护与控制》青年编委;
• Protection and Control of Modern Power Systems (PCMP) 大类一区SCI编委(Associate editor);
• 广东应对技术贸易壁垒学术委员会专家(机器人及IT方向);
• 国家自然科学基金评审专家;
• IEEE ACCESS 国际大类二区SCI杂志编委(Associate editor);
• IEEE ISGT 智能电网创新技术国际会议分会主席;
• 担任IEEE Transactions on Power Systems/IEEE Transactions on Smart Grid/IEEE Transactions on Sustainable Energy/IEEE Transactions on Industrial Informatics/Applied Energy/Energy/Energy Conversion and Management etc等十多个国际著名SCI杂志的审稿人。

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