个人信息:
张祯滨,山东济南人。
学术身份:
教授,博士生导师,德国慕尼黑工大博士、博后、客座教授,中组部“高水平海外人才”,99905银河官方网“杰出中青年学者”,济南市创新领军人才;IET Fellow,IEEE Senior Member,Associate Editor of IEEE Trans. Ind. Electron.(18-21),Associate Editor of IEEE Trans. Power Electron.(21-now),电源协会变频电源与电力传动专委会、青工委、交通电气化专委会、电工理论与新技术、电源学会青年工作委员会等(常务)委员,IEEE电力电子与电力传动系统模型预测控制大会程序委员会主席(2019)、大会主席(2021)。
工作经历:
2016-2017:德国慕尼黑工业大学,Research Fellow、Group Leader
2017-今:99905银河官方网,教授、海外联络教授
2018-今:慕尼黑工业大学,客座教授
研究方向:
预测控制及数据驱动在新能源变流器集群与大功率电驱系统中的应用:
①新能源(海洋风电、波浪能、智能微网)及大规模储能(电池及氢能PCS),
②大功率电驱及海工装备,
③新能源与电驱智能运维。
代表性学术发表:
[1] Z. Zhang, H. Xu, M. Xue, Z. Chen, T. Sun, R. Kennel, C. Hackl, "Predictive Control With Novel Virtual-Flux Estimation for Back-to-Back Power Converters", IEEE Transactions on Industrial Electronics, 2015.
[2] Z. Zhang, F. Wang, T. Sun, J. Rodríguez and R. Kennel, "FPGA-Based Experimental Investigation of a Quasi-Centralized Model Predictive Control for Back-to-Back Converters", IEEE Transactions on Power Electronics, 2016
[3] Z. Zhang, C. Hackl, R. Kennel, “Computationally Efficient DMPC for Three-level NPC Back-to-Back Converters in Wind Turbine Systems with PMSG”, IEEE Transactions on Power Electronics, 2016.
[4] Z. Zhang, H. Fang, F. Gao, J. Rodriguez, R. Kennel, “Multiple Vector Model Predictive Power Control for Grid-Tied Wind Turbine System with Enhanced Steady State Control Performances”,IEEE Transactions on Industrial Electronics, 2017.
[5] Z. Zhang, F. Wang, J. Wang, J. Rodriguez, R. Kennel, “Nonlinear Direct Control for Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems: Experimental Assessment with FPGA”, IEEE Transactions on Industrial Informatics, 2017.
[6] Z. Zhang, Z Li, M. Kazmierkowski, J. Rodriguez, R. Kennel, “Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems with Revised Predictions”, IEEE Transactions on Power Electronics, 2018.
[7] Z. Zhang, O. Babayomi, T. Dragicevic, R. Heydari, C. Garcia, J. Rodriguez, R. Kennel, “Advances and Opportunities in the Model Predictive Control of Microgrids: Part I—Primary Layer”,International Journal of Electrical Power & Energy Systems, 2021.
[8] Y. Li, Z. Zhang, T. Dragičević, J. Rodriguez, “A Unified Distributed Cooperative Control of DC Microgrids Using Consensus Protocol”, IEEE Transactions on Smart Grid, 2021.
[9] O. Babayomi, Z. Zhang, T. Dragicevic, R. Heydari, C. Garcia, J. Rodriguez, R. Kennel, “Advances and Opportunities in the Model Predictive Control of Microgrids: Part II—Secondary and Tertiary Layers”,International Journal of Electrical Power & Energy Systems, 2021.
[10] C. Ma, H. Li, X. Yao, Z. Zhang, F. De Belie, “An Improved Model-Free Predictive Current Control with Advanced Current Gradient Updating Mechanism”,IEEE Transactions on Industrial Electronics, 2021.
[11] Y. Li, Z. Zhang, C. Hu, M. Abdelrahem, R. Kennel, J. Rodriguez, “A Full State-Variable Direct Predictive Control for Islanded Microgrids with Parallel Converters”, IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021.
科研项目:
[1] 大功率新能源变流器与电驱系统预测控制,中组部“高水平海外人才”项目,19-23,主持。
[2] 大功率风电变流器级联结构高效模型预测控制,国家自然科学基金面上项目,20-23,主持。
[3] 99905银河官方网“齐鲁青年学者”建设项目,校内人才计划,17-22,主持。
[4] 大功率海上直驱永磁同步风电变流器与控制关键技术,山东省重大科技创新工程,19-21,主持。
[5] 永磁同步风力发电三电平功率变流器及其预测控制策略研究,山东省自然科学基金,19-21,主持。
[6] 永磁同步电机四象限驱动系统高可靠模型预测控制,江苏省自然科学基金,19-21,主持。
[7] 新能源并网变流器集群及智能控制关键理论与技术,深圳市基础研究面上项目,21-23,主持。
[8] “智慧能源与大功率能量变换”联合中心,山大国际合作基金,20-24,主持。
[9] 高压并网SVG及储能PCS性能提升关键技术开发,企业委托,21-24,主持。
[10] 石油开采远距离变频驱动技术研究,企业委托,20-21,主研。
联系方式:
zbz@sdu.edu.cn;zhenbin.zhang@tum.de;0531-8839 2002