姓名：张祯滨
出生年月： 1984年
职称： 教授/博导
职务： 山东大学可再生能源与智能电网研究所所长、MPEES实验室主任、团队PI
Email： zbz@sdu.edu.cn
系所与团队：
可再生能源与智能电网研究所
“大容量电能变换与海工装备系统”团队
电力电子化能源系统实验室（MPEES）
学术身份：
教授/博导，国家级人才（2018），山东省泰山学者特聘专家、山东省杰青、国家重点研发计划首席青年科学家、山东大学杰出中青年学者（A类），IET Fellow、IEEE Senior Member、IET Chartered Engineer，Associate Editor of IEEE Trans. Ind. Electron. (2018–2021)、Associate Editor of IEEE Trans. Power Electron. (2021–2026)，Guest Editor-in-Chief of IEEE Trans. Power Electron.、Guest Editor-in-Chief of IEEE J. Emerg. Sel. Top. Ind. Electron.，济南市创新领军人才（B类），兼任中国机械工业教育学会电力电子与电力传动专委会副主任，电源及电工技术学会4个专委会常务委员，德国、波兰自然科学基金评委，曾任第六届IEEE电力电子与电能变换系统预测控制国际会议大会主席、第二十届IEEE工业电子与应用国际会议大会主席及多个国际学术会议程序委员会主席、组委会主席等。
主要工作经历：
2011-2016：德国慕尼黑工业大学，博士(summa cum laude)
2016-2017：德国慕尼黑工业大学，博后研究员/Group Leader (VDE-Award)
2017-今：山东大学，教授/博导、海外联络教授
2023-2024：英国剑桥大学，客座教授/高级访问学者
2024-今：德国慕尼黑工业大学，客座教授/博士及博士后导师
研究方向：
双高电网大功率电能变换预测控制及预测运维：
① 大容量风电及电驱系统预测控制，
② 新能源接入IBR电网韧性调控，
③ 现代电能变换系统预测运维。
学术著作：
以第一/通信作者发表 SCI/EI 论文149篇。SCI一区TOP期刊76篇。近五年在 IEEE TIE、IEEE TPEL 等本领域权威SCI一区TOP期刊发表论文46篇；5篇入选 ESI 高被引。第一发明人授权中国发明专利51件、国际发明专利8件（美国3件、澳大利亚1件、PCT 4件）。在国际学术会议作相关专题讲座报告（Tutorial）19次，并受邀在 IEEE PELS Free Webinar“功率变换预测控制40周年”作主旨报告。
近期的部分期刊论文如下：
[1]G. Chen,Z. Zhang*,Pablo Acuna, et al., “Advanced Model Predictive Control for Large-Capacity Grid-Tied Power Conversion: High Power Quality Techniques at Low Switching Frequency”,IEEE Trans. Power Electron., 2025 (SCI Q1, IF: 6.6).
[2]H. Chen, Z. Li and Z. Zhang*,“Multimode Fault-Tolerant Predictive Control for Parallel Three-Level Power Converters”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[3]J. Qiu and Z. Zhang*,“A Predictive Encoderless Control Technique for PMSMs: Enabling Loaded Standstill Operation”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[4]M. Hasan, D. Razmi, O. Babayomi, I. Davidson, V. Terzija and Z. Zhang*,“Advanced control and protection strategies for grid-forming inverters in microgrids—A review”,Int. J. Electr. Power Energy Syst., 2025 (SCI, IF: 5.0).
[5]J. Gu, Z. Li, H. He and Z. Zhang,“Asymmetrical Fault Ride-through Control for DFIGs: A Solution Simultaneously Supporting Grid Codes and System Constraints”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[6]G. Chen and Z. Zhang*,“Global-Synchronized Optimized Pulse Patterns”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[7]H. Li and Z. Zhang*,“Manifold Reshaping Method: A New Route for Large-Signal Stability of Grid-Tied Converters”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[8]Y. Yin,Z. Zhang*and G. Chen, “A Simple and Efficient Direct Predictive Control Framework for Multi-parallel Power Converters”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[9]R. Song, G. Chen,Z. Zhang*,et al., “RMS Current Balancing of Parallel SiC Bridge Arms based on a Rotational Rest Control Strategy”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[10]H. He,Z. Zhang*,Z. Li,et al., “An Efficient Predictive Control for Cascaded H-Bridge Static Var Generator”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[11]Y. Zhang, Z. Li, H. Chen, H. Huang, G. Chen, M. Zhang and Z. Zhang,“A Unified Fast Open-Circuit Fault Diagnosis Method for 3L-NPC Power Converters”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[12]H. Ding, Z. Zhu, X. Guo, S. Li,Z. Zhang,et al., “Improved ADRC With a Disturbance-Separation CESO Based on Complex Coefficient-Filter for Current Source Rectifier”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[13]H. Ding, Y. Liu, X. Guo, S. Li, Y. Zhang and Z. Zhang, “Improved Backstepping Control Strategy for Current Source Rectifier Under Nonideal Grid Conditions”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[14]H. Li,Z. Zhang*,“Nonlinear Analysis and a Stability Improvement Method for GFL Power Converters”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[15]Y. Wang, Z. Li, J. Qiu, S. Zhou, H. Li and Z. Zhang*,“Robust Encoderless Control for PMSM Drives via A Revised Unscented Kalman Filter”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[16]Y. Zhang,Z. Zhang*,G. Chen, et al., “Direct Predictive Harmonic Current Control of Power Converters With Fixed Switching Frequency”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5)
[17]H. Huang, Z. Li, H. Chen, Y. Zhang and Z. Zhang,“A Fast Open-Circuit Fault Diagnosis Method for Large Wind Turbines with Parallel Power Converters”,IEEE Journal of Emerg. and Sel. Topics in Power Electron., 2025 (SCI Q2, IF: 4.6).
[18]Z. Chen, Z. Li, S. Huang, H. Chen and Z. Zhang,“A Model-Free Deep Reinforcement Learning Framework for Efficiency Optimization of Three-Phase Dual Active Bridge Converters”,IEEE Journal of Emerg. and Sel. Topics in Power Electron., 2025 (SCI Q2, IF: 4.6).
[19]O. Babayomi, R. Madonski,Z. Zhang,et al., “Robust Model Predictive Control of Converter-Based Microgrids”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[20]Y. Yin, G. Chen and Z. Zhang*,“A Segmentation-and-Filtering-Based Predictive Control for High-Power Converters with Ultralow and Regulated Switching Frequencies”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[21]G. Chen,Z. Zhang*,Y. Zhang, et al., “A Robust Harmonic Programmed Predictive Control for Medium Voltage Energy Conversion”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[22]D. Kong, Y. Sun,Z. Zhang*,et al., “Integrated Model Predictive Control of Double-Stage Solid-State Transformers With Dynamic Reference”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[23]C. Hu, L. Lv,Z. Zhang,et al., “Model-Free Predictive Control of LCL-Filtered Voltage Source Inverter With Parameter-Free References”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[24]F. Wang, F. Cai,Z. Zhang,et al., “Multiobjective Model Predictive Control of LCL Grid-Connected Inverter Based on an Improved Gray Wolf Algorithm”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[25]D.Razmi, O. Babayomi and Z. Zhang*,“Reinforcement learning-driven dynamic Model Predictive Control for adaptive real-time multi-agent management of microgrids”,Int. J. Electr. Power Energy Syst., 2025 (SCI, IF: 5.0).
[26]O. Babayomi, Y. Li,Z. Zhang*,et al., “Advanced Control of Grid-Connected Microgrids: Challenges, Advances, and Trends”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[27]Z. Chen, Z. Li, S. Huang, X. Sun, X. Zhu,Z. Zhang,“A Fast and Reliable Start-up Strategy for Three-Phase DAB Power Converters”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[28]L. Liu,Z. Zhang*,Y. Zhao, et al., “Data-Driven Model-Free Adaptive Control for Power Converter Under Multiscenarios in Microgrids”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[29]Z. Zhang*,G. Chen, D. Xu, “Harmonic Programmed Modulation for High-Power Energy Conversion: Principles, Realizations, and a Unified Tailorable Solution”,IEEE Trans. Power Electron.,2025 (SCI Q1, IF: 6.6).
[30]J. Qiu, Z. Li, H. Li, S. Zhou,Z. Zhang,“A Unified and Enhanced Hybrid Flux Observer for Encoderless Control of AC Motors”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[31]Z. Zhang*,S. Zhou, H. Li, et al., “A Novel Demodulation for Pulsating Carrier Voltage Injection-Based Encoderless Control”,IEEE Trans. Power Electron., 2025 (SCI Q1, IF: 6.6).
[32]D. Kong, S. Li, C. Liu,Z. Zhang,et al., “Model-Free Predictive Control Based on Data-Driven for Fast and Accurate Power Allocation in Solid-State DC Transformers”,IEEE Trans. Power Electron., 2025 (SCI Q1, IF: 6.6).
[33]Y. Sun, D. Kong,Z. Zhang*, et al., “Consensus-Based Distributed Control of Offshore Wind Farms Connected via DR-HVDC”,IEEE Trans. Ind. Electron., 2025 (SCI Q1, IF: 7.5).
[34]S. Huang,Z. Zhang*,Z. Chen,et al., “Impedance-Based Criterion Design for Grid-Following/Grid-Forming Switching Control of Wind Generation System”,Energies, 2025 (SCI, IF: 3.0).
[35]S. Huang,Z. Zhang*,Z. Chen,et al., “Stability Analysis and Enhanced Control of Wind Turbine Generators Based on Hybrid GFL-GFM Control”,Energies, 2025 (SCI, IF: 3.0).
[36]M. Norambuena, A. Mora, C Garcia, J. Rodriguez, M. Aly, F. Carnielutti, J. Pereda, C. Castillo,Z. Zhang, et al., “Model Predictive Control in Multilevel Inverters Part II: Renewable Energies and Grid Applications”,IEEE Open Journal of Industry Applications, 2024 (SCI Q1, IF: 7.9).
[37]Y. Sun, D. Kong,Z. Zhang*, et al., “Decoupled Distributed Control of Offshore Wind Farms Connected to DR-HVDC Based on Novel Adaptive Virtual Impedance”,IEEE Trans. Power Electron., 2024 (SCI Q1, IF: 6.6).
[38]Y. Li, J. Gao,Z. Zhang*, et al., “Finite Control Set Model Predictive Control for Grid-Connected Parallel Power Converters with Guaranteed Optimality”,IEEE Trans. Power Electron., 2024 (SCI Q1, IF: 6.6).
[39]Z. Zhang*, J. Li, Z. Li, et al., “Adaptive Fast-Optimization Predictive Control of MMC with Improved Hybrid Control Framework”,IEEE Trans. Ind. Electron., 2024 (SCI Q1, IF: 7.5).
[40]J. Zhang,Z. Zhang*, Z. Li, et al., “A Simple and Effective Predictive Power Control for Induction Motor Drives”,IEEE Trans. Power Electron., 2024 (SCI Q1, IF: 6.6).
[41]L. Liu,Z. Zhang*, et al., “Multidisturbances Compensation for Three-Level NPC Converters in Microgrids: A Robust Adaptive Sliding Mode Control Approach”,IEEE Trans. Ind. Electron., 2024 (SCI Q1, IF: 7.5).
[42]O. Babayomi,Z. Zhang*, Z. Li, et al., “Robust Predictive Control of Grid-Connected Converters: Sensor Noise Suppression with Parallel-Cascade Extended State Observer”,IEEE Trans. Ind. Electron., 2024 (SCI Q1, IF: 7.5,highly cited paper: citation number till Sep. 2024: 12 according to Google Scholar).
[43]O. Babayomi,Z. Zhang*, “Bidirectional DC-DC converters for distributed energy resources: Robust predictive control with structurally-adaptive extended state observers”,Int. J. Electr. Power Energy Syst., 2024 (SCI, IF: 5.0).
[44]Y. Li, J. Gao,Z. Zhang, et al., “Model-Based and Model-Free Predictive Active Damping for LCL-Type Active-Front-End Rectifiers”,IEEE Trans. Ind. Electron., 2024 (SCI Q1, IF: 7.5).
[45]D. Kong, X. Gao,Z. Zhang, et al., “Minimization of Current Stress for Dual Active Bridge Converters Based on Model Predictive Control with Enhanced ZVS Ability”,IEEE Trans. Ind. Electron., 2024 (SCI Q1, IF: 7.5).
[46]Z. Dong, Q. Chen,Z. Zhang, et al., “Noise Tolerance Strategy Based on Virtual Capacitor for DC–DC Converters with Continuous Control Set Model Predictive Control”,IEEE Trans. Power Electron., 2024 (SCI Q1, IF: 6.6).
[47]W. Xu, Z. Li,Z. Zhang*, “Low Carbon Oriented Electric-Hydrogen System Multi-Time Scale Collaborative Optimal Scheduling Strategy Considering Hybrid Energy Storage”,Energy Reports, 2024 (SCI, IF: 4.7).
[48]Z. Zhang*, H. Li, S. Zhou, et al., “An Effective Adaptive-Observer Based Wide Range Encoderless Control for PMSM Drives”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[49]L. Liu,Z. Zhang*, Y. Yin, et al., “An Efficient Robust Power-Voltage Control for Three-Level NPC Converters in Microgrids”,IEEE Trans. Ind. Inform., 2023 (SCI Q1, IF: 11.7).
[50]O. Babayomi,Z. Zhang*, et al., “Model-Free Predictive Control of DC–DC Boost Converters: Sensor Noise Suppression with Hybrid Extended State Observers”,IEEE Trans. Power Electron., 2023 (SCI Q1, IF: 6.6).
[51]S. Zhou,Z. Zhang*, H. Li, et al., “A Robust Encoderless Control for PMSM Drives: a Revised Hybrid Active Flux Based Technique”,IEEE Trans. Power Electron., 2023(SCI Q1, IF: 6.6).
[52]X. Li, Z. Dong,Z. Zhang, et al., “Model-Predictive Control with Parameter Identification for Multi-Dual-Active-Bridge Converters Achieving Accurate Power Balancing,”IEEE Trans. Power Electron., 2023, (SCI Q1, IF: 6.6).
[53]X. Liu,Z. Zhang*, M. Han, et al., “A Simple and Fast Start-up Strategy for Dual Active Bridge Converters with DC Bias Suppression”,IEEE Trans. Power Electron., 2023 (SCI Q1, IF: 6.6).
[54]X. Yu, D. Ke,Z. Zhang, et al., “Robust Exploration Based Finite Control Set Predictive Current Control for SPMSM Drives Under Influence of Measurement Error”,IEEE Trans. Energy Convers., 2023 (SCI Q1, IF: 5.0).
[55]L. Liu,Z. Zhang*, et al., “A Robust High-Quality Current Control with Fast Convergence for Three-Level NPC Converters in Micro-Energy Systems”,IEEE Trans. Ind. Inform., 2023 (SCI Q1, IF: 11.7).
[56]H. Chen,Z. Zhang*, et al., “Digital Twin Techniques for Power Electronics-Based Energy Conversion Systems: Concepts, Application Scenarios, Future Challenges, and Trends”,IEEE Ind. Electron. Mag., 2023 (SCI Q1, IF: 5.6).
[57]O. Babayomi,Z. Zhang*“Model-Free Predictive Control of Power Converters with Cascade-Parallel Extended State Observers”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[58]O. Babayomi,Z. Zhang*,“Model-Free Predictive Control of Power Converters with Multi-Frequency Extended State Observers”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[59]M. Zhang,Z. Zhang*, Z. Li, et al.“A Simple and Effective Open-Circuit-Fault Diagnosis Method for Grid-Tied Power Converters–A New Technique Based on Tellegen’s Theorem”,IEEE Journal of Emerg. and Sel. Topics in Power Electron., 2023 (SCI Q2, IF: 4.6).
[60]M. Zhang,Z. Zhang*, et al.“A Unified Open-Circuit-Fault Diagnosis Method for Three-Level Neutral-Point-Clamped Power Converters”,IEEE Trans. Power Electron., 2023 (SCI Q1, IF: 6.6).
[61]C. Hu, Z. Yin, T. Rui,Z. Zhang,et al., “A Novel Double-Voltage-Vector Model-Free Predictive Current Control Method for Two-Level Voltage Source Inverters”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[62]H. Kawai,Z. Zhang, R. Kennel, et al., “Direct Speed Control Based on Finite Control Set Model Predictive Control with Voltage Smoother”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[63]Q. Xing,Z. Zhang*, Z. Li, et al., “Bias-Free Predictive Control of Power Converters with LCL-Filter in Micro-Energy Systems”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[64]C. Hu, W. Xu, T. Rui,Z. Zhang, et al., “A Novel Modulated Model-Free Predictive Control for LC-Filtered Grid-Forming Inverters with Double-Difference Updating”,IEEE Trans. Ind. Electron., 2023 (SCI Q1, IF: 7.5).
[65]X. Sun,Z. Zhang*, M. Han, et al., “An Enhanced Current Sensorless Predictive Control for Dual Active Bridge Converter”,Trans. of China Electrotechnical Society, 2023 (EI, in Chinese).
[66]H. Zhang, Y. Li, Y. Yin, Z. Li,Z. Zhang*, “An Integrated High-Quality Cooperative Control Strategy of DC Microgrids”,Trans. of China Electrotechnical Society, 2023 (EI, in Chinese).
[67]Y. Wei, D. Ke, D. Huang, F. Wang,Z. Zhang, “Model-Free Predictive Sliding Mode Control Using Ultra-Localized Time-Series for PMSM Drives”,Trans. of China Electrotechnical Society, 2023 (EI, in Chinese).
[68]F. Wang, A. Yang, X. Yu,Z. Zhang, et al., “Model-Free Predictive Current Control for Three-Phase Vienna Rectifier Based on Adaptive Super-Twisting Sliding Mode Observer”,Trans. of China Electrotechnical Society, 2023 (EI, in Chinese).
[69]J. Rodriguez, C. Garcia, A. Mora, F. Flores-Bahamonde, P. Acuna, M. Novak, Y. Zhang, L. Tarisciotti, S. A. Davari,Z. Zhang, et al., “Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies”,IEEE Trans. Power Electron., 2022 (SCI Q1, IF: 6.6,highly cited paper:citation number till Sep. 2024: 276 according to Google Scholar).
[70]J. Rodriguez, C. Garcia, A. Mora, A. Davari, J. Rodas, D. Fernando Valencia Garcia, M. Fouad Elmorshedy, F. Wang, K. Zuo, L. Tarisciotti, F. Flores-Bahamonde, W. Xu,Z. Zhang, et al., “Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking with Classical Control Methods”,IEEE Trans. Power Electron., 2022 (SCI Q1, IF: 6.6,highly cited paper: citation number till Sep. 2024: 198 according to Google Scholar).
[71]O. Babayomi,Z. Zhang*, et al.“Smart Grid Evolution: Predictive Control of Distributed Energy Resources—A review”,Int. J. Electr. Power & Energy Sys., 2022 (SCI Q1, IF: 5.0).
[72]O. Babayomi, Y. Li,Z. Zhang*“Distributed Consensus-Based Reactive Power Sharing in Microgrids: A Predictive Virtual Capacitance Control Technique”,Int. J. Electr. Power & Energy Sys., 2022 (SCI Q1, IF: 5.0).
[73]O. Babayomi, D.Dah,Z. Zhang, “Affordable Clean Energy Transition in Developing Countries: Pathways and Technologies”,iScience, 2022 (SCI Q2, IF: 4.6).
[74]Y. Li, H. He, Z. Li,Z. Zhang*, “Predictive Zero-Sequence Current Control of Multiple Paralleled Power Converters”,IEEE Trans. Ind. Electron., 2022 (SCI Q1, IF: 7.5).
[75]J. Wang, L. Chen, Z. Liu,Z. Zhang*, et al., “Optimized Parameter Design of the Dual-Loop Control for Grid-Forming VSCs With LC Filters”,IEEE Trans. Ind. Appl., 2022 (SCI Q2, IF: 4.2).
[76]J. Zhang,Z. Zhang*, et al., “Predictive power control of induction motor drives with improved efficiency”,Energy Reports, 2022 (SCI Q2, IF: 4.7).
[77]T. Wang, Y. Wang,Z. Zhang*, et al., “Comparison andAnalysis of predictive control of induction motor without weighting factors”,Energy Reports, 2022 (SCI Q2, IF: 4.7).
[78]Z. Dong,Z. Zhang*,et al., “A Survey of Battery–Supercapacitor Hybrid Energy Storage Systems: Concept, Topology, Control and Application”,Symmetry, 2022 (SCI Q2, IF: 2.2).
[79]O. Babayomi,Z. Zhang*, T. Dragicevic, et al., “Advances and Opportunities in the Model Predictive Control of Microgrids: Part II – Secondary and Tertiary Layers”,Int. J. Electr. Power & Energy Sys., 2021 (SCI Q1, IF: 5.0).
[80]Z. Zhang*, O. Babayomi, et al., “Advances and Opportunities in the Model Predictive Control of Microgrids: Part I – Primary Layer”,Int. J. Electr. Power & Energy Sys., 2021 (SCI Q1, IF: 5.0).
[81]O. Babayomi,Z. Zhang*, Y. Li, et al., “Adaptive Predictive Control with Neuro-Fuzzy Parameter Estimation for Microgrid Grid-Forming Converters”,Sustainability, 2021 (SCI Q2, IF: 3.3).
[82]F. Grimm, P. Kolahian,Z. Zhang, et al., “A Sphere Decoding Algorithm for Multistep Sequential Model Predictive Control”,IEEE Trans. Ind. Appl., 2021 (SCI Q2, IF: 4.2).
[83]Y. Li,Z. Zhang*, T. Dragicevic, et al., “A Unified Distributed Cooperative Control of DC Microgrids Using Consensus Protocol”,IEEE Trans. Smart Grid, 2021 (SCI Q1, IF: 8.6).
[84]O. Babayomi, Z. Li,Z. Zhang*, “Distributed Secondary Frequency and Voltage Control of Parallel-Connected VSCs in Microgrids: A Predictive VSG-Based Solution”,CPSS Trans. Power Electron. and Appl., 2021 (EI).
[85]C. Ma, H. Li, X. Yao,Z. Zhang, et al., “An Improved Model-Free Predictive Current Control with Advanced Current Gradient Updating Mechanism”,IEEE Trans. Ind. Electron., 2021 (SCI Q1, IF: 7.5).
[86]Y. Li,Z. Zhang*, et al., “A Full State-Variable Direct Predictive Control for Islanded Microgrids with Parallel Converters”,IEEE Journal of Emerg. and Sel. Topics in Power Electron.,2021 (SCI Q2, IF: 4.6).
[87]Y. Li, H. Guo, C. Ping, X. Wang,Z. Zhang*, “A Full-State Variable Predictive Torque Control of Current Source Converter Fed Permanent Magnet Synchronous Motor Drives”,Trans. China Electrotechnical Society, 2021 (EI).
[88]Y. Sun,Z. Zhang, et al., “A Time-Domain Virtual-Flux Based Predictive Control of Modular Multilevel Converters for Offshore Wind Energy Integration”,IEEE Trans. Energy Convers., 2021 (SCI Q1, IF: 5.0).
[89]Y. Sun,Z. Zhang*, et al., “Robust Predictive Control of Grid-Tied Modular Multilevel Converters with Virtual-Flux Based Online Inductance Estimation”,IEEE Trans. Power Del., 2021 (SCI Q1, IF: 3.8).
[90]H. Kawai,Z. Zhang, R. Kennel, “Finite Control Set Model-Predictive Speed Control with a Load Torque Compensation”,IEEJ Trans. Electr. and Electron. Eng., 2020 (SCI, IF: 1.0).
[91]C. Zheng, T. Dragicevic,Z. Zhang, et al., “Model Predictive Control of LC-Filtered Voltage Source Inverters with Optimal Switching Sequence”,IEEE Trans. Power Electron., 2020 (SCI Q1, IF: 6.6).
[92]J. Wang, Y. Tang, Y. Qi, P. Lin,Z. Zhang, “A Unified Startup Strategy for Modular Multilevel Converters with Deadbeat Predictive Current Control”,IEEE Trans. Ind. Electron., 2020 (SCI Q1, IF: 7.5).
[93]Y. Li,Z. Zhang, K. Li, et al., “Predictive Current Control for Voltage Source Inverters Considering Dead Time Effect”,CES Trans. Electr. Mach. and Sys., 2020 (EI).
[94]L. Yan, F. Wang, M. Dou,Z. Zhang, “Active Disturbance Rejection-Based Speed Control in Model Predictive Control for Induction Machines”,IEEE Trans. Ind. Electron., 2020 (SCI Q1, IF: 7.5).
[95]X. Gao, C. Hackl,Z. Zhang, et al., “Direct Predictive Speed Control with a Sliding Manifold Term for PMSM Drives”,IEEE Journal of Emerg. and Sel. Topics in Power Electron., 2019 (SCI Q2, IF: 4.6).
[96]Y. Sun,Z. Zhang*, “Hybrid Predictive Control with Simple Linear Control Based Circulating Current Suppression for Modular Multilevel Converters”,CES Trans. Electr. Mach. and Sys., 2019 (EI).
[97]Z. Zhang*, M. Kazmierkowski, R. Kennel, et al., “Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems with Revised Predictions”,IEEE Trans. Power Electron., 2018 (SCI Q1, IF: 6.6).
[98]M. Norambuena, J. Rodriguez,Z. Zhang, et al., “A Very Simple Strategy for High Quality Performance of AC Machines Using Model Predictive Control”,IEEE Trans. Power Electron., 2018 (SCI Q1, IF: 6.6).
[99]Z. Zhang, F. Wang, et al., “Nonlinear Direct Control for Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems: Experimental Assessment with FPGA”,IEEE Trans. Ind. Inform., 2017 (SCI Q1, IF: 11.7).
[100]X. Cai,Z. Zhang*, R. Kennel, “Optimal control solutions for PMSM drives: a comparison study with experimental assessment”,IEEE Journal of Emerg. and Sel. Topics in Power Electron., 2017 (SCI Q2, IF: 4.6).
[101]A. Mohamed, C. Hackl,Z. Zhang, et al., “Robust Predictive Control for Direct-Drive Surface-Mounted Permanent-Magnet Synchronous Generators Without Mechanical Sensors”,IEEE Trans. Energy Convers., 2017 (SCI Q1, IF: 4.9).
[102]Z. Zhang, F. Gao, et al.“Multiple Vector Model Predictive Power Control for Grid-Tied Wind Turbine System with Enhanced Steady State Control Performances”,IEEE Trans. Ind. Electron., 2017 (SCI Q1, IF: 7.5).
[103]Z. Zhang, et al., “Computationally Efficient DMPC for Three-level NPC Back-to-Back Converters in Wind Turbine Systems with PMSG”,IEEE Trans. Power Electron., 2017 (SCI Q1, IF: 6.6).
[104]J. Wang, F. Wang,Z. Zhang, S. Li, et al., “Design and Implementation of Disturbance Compensation-Based Enhanced Robust Finite Control Set Predictive Torque Control for Induction Motor Systems”,IEEE Trans. Ind. Inform., 2016 (SCI Q1, IF: 11.7).
[105]Z. Zhang*, F. Wang, et al., “FPGA Based Experimental Investigation of a Quasi-Centralized Model Predictive Control for Back-to-Back Converters”,IEEE Trans. Power Electron., 2016 (SCI Q1, IF: 6.6).
[106]Z. Zhang, T. Sun, et al., “Computationally Efficient Quasi-Centralized DMPC for Back-to-Back Converter PMSG Wind Turbine Systems without DC-link Tracking Errors”,IEEE Trans. Ind. Electron., 2016 (SCI Q1, IF: 7.5).
[107]Z. Zhang, H. Xu, M. Xu, et al., “Predictive Control with Novel Virtual Flux Estimation for Back-to-Back Converters”,IEEE Trans. Ind. Electron., 2015 (SCI Q1, IF: 7.5).
[108]F. Wang, Z. Chen,Z. Zhang, et al., “Finite Control Set Model Predictive Torque Control of Induction Machine with a Robust Adaptive Observer”,IEEE Trans. Ind. Electron., 2015 (SCI Q1, IF: 7.5).
[109]Z. Chen, F. Wang, G. Luo,Z. Zhang*, et al., “Secondary Saliency Tracking-Based Sensorless Control for Concentrated Winding SPMSM”,IEEE Trans. Ind. Inform., 2015 (SCI Q1, IF: 11.7).
[110]F. Wang,Z. Zhang*, et al., “An Encoderless Predictive Torque Control for an Induction Machine with a Revised Prediction Model and EFOSMO”,IEEE Trans. Ind. Electron., 2014 (SCI Q1, IF: 7.5)，等。
主要科研项目：
[1]“十四五”国家重点研发计划（青年科学家）：
“大功率低成本海上风电高效能量传变理论与控制技术”，23-27，主持。
[2]中组部“高水平海外人才”项目（优先资助）：
“大功率新能源变流器与电驱系统预测控制”，19-23，主持。
[3]山东省泰山学者特聘专家项目：
“面向双高电力系统的大容量风电关键控制理论与装备技术”，25-29，主持。
[4]山东省杰出青年基金项目：
“海洋风电电能变换系统设计与控制”，23-26，主持。
[5]国家自然科学基金（面上）：
“微能源系统高品质协同预测控制”，23-26，主持。
[6]国家自然科学基金（面上）：
“大功率风电变流器级联结构高效模型预测控制”，20-23，主持。
[7]山东省重大科技创新工程：
“大功率海上直驱永磁同步风电变流器与控制关键技术”，19-21，主持。
[5]济南市“高校20条”创新团队：
“10MW级海上风电装备与控制创新团队”，21-23，主持。
[6]长沙广义变流技术有限公司企业委托：
“三电平NPC并网逆变器控制策略开发”，24-26，主持。
[7]新风光电子科技股份有限公司企业委托：
“高压并网SVG及储能PCS设备性能提升关键技术开发”，21-26，主持。
[8]国网山东省电力公司青岛供电公司企业委托：
“面向能源转型背景下能源互联网零碳演进关键技术研究”，21-23，主持。
[9]中车山东风电有限公司企业委托：
“风电机组通用电气仿真模型开发及应用”，22，主持。
另主持省部级自然科学基金，国家电网总部、中国兵工集团等企业委托项目十余项。
奖励情况：
[1] 中国电源学会技术发明一等奖（最高奖，年度唯一发明奖），2025，第一完成人。
[2]中国电工技术学会科技进步一等奖，2023，第一完成人。
[3] 日内瓦国际发明展金奖，2024，第一完成人。
[4] 中国电工技术学会青年科技奖，2024。
[5] 中国电源学会青年科技创新奖，2024。
[6] 德国电气工程协会杰出学术贡献奖（人物奖），2017。
[7] IEEE Industrial Electronics Magazine杰出论文奖（年度唯一，Top0.8%），2024。
[8]福建省科技进步一等奖，2025，第三完成人。
[9]安徽省科技进步二等奖，2021，第二完成人。
[10]山东省科技进步二等奖，2022，第三完成人。
招生类型：
教学科研型。
请有志攻读本人硕、博士研究生的同学，邮件联系并随附个人简历。
