yl23411永利集团官网杰出人才体系
赵浩然
发布时间:2018年03月05日 08:10    作者:    点击:[]

       

研究所

电力系统研究所

个人主页
www.zhaohaoran.top

学术身份

国家特聘教授(2017年入选),博士生导师,齐鲁青年学者(2016年入选)。目前为IEEE高级会员、CIGRE工作组C6.C1.33(综合能源系统)工作组成员、CIGRE C4.56 (大规模电力电子接入的大电网电磁暂态仿真模型)工作组成员、IEC SC 8A工作组专家、山东能源研究会副理事长、电机工程学会配电网控制运行专委会委员、电工技术学会人工智能与电气应用专委会委员、仿真学会综合能源数字孪生专委会委员、可再生能源学会综合能源专委会委员。


目前担任IEEE Transactions on Sustainable Energy,IET Renewable Power Generation/Journal of Engineering等国际期刊Associate Editor,电力保护与控制青年编委,受邀担任IEEE Transactions on Energy Conversion特刊Associate Editor,International Journal of Electrical Power& Energy Systems特刊主编。


工作经历

2001-2005 yl23411永利集团官网,工学学士

2005-2007 国家电网济南供电公司,工程师

2007-2010 德国柏林工业大学电气系,工学硕士

2009 年间  德国Younicos AG,兼职工程师

2010-2011 德国DIgSILENT GmbH,项目工程师

2011-2014 丹麦科技大学电力能源中心,工学博士

2014-2017 丹麦科技大学电力能源中心,博士后

2017-至今 yl23411永利集团官网,教授


个人信息

姓名

赵浩然

性别

出生日期

1983.04

籍贯

山东济宁

职称

教授

职务

副院长

电话

0531-81696100

Email

hzhao@sdu.edu.cn





研究方向

·风力发电及并网

·储能系统应用

·综合能源系统运行与控制


学术著作

近年的杂志论文,会议论文与书章节未列出。

  [1]Tian H, Zhao H*, Li H, et al. Interval-pr

    obabilistic Electricity-heat-gas Flow Calc

    ulation by Dual-level Surrogate Structure

    [J].IEEE Transactions on Smart Grid, 2023.

  [2]刘俊伟,刘春阳,赵浩然*,.基于知识引导深度神经

    网络的电-热综合能源系统状态估计[J].电网技术.

       [3]王俊杰,赵浩然*,刘春阳,陈常念,等.基于熵指标的热 

    输动态特性建模与仿真分析[J].中国电机工程学

    报.

        [4]C. Chen, J. Wang, H. Zhao*, Z. Yu, J. Han, J. Chen, C. Liu,             " Entropy Flow Analysis of Thermal Transmission Proces            in Integrated Energy System Part I: Theoretical Approach            Study,” Processes, 2022.

       [5]C. Chen, J. Wang, H. Zhao*, Z. Yu, J. Han, J. Chen, C. Liu,            "Entropy Flow Analysis of Thermal Transmission Process            in Integrated Energy System Part II: Comparative Case Stu

         dy,Processes, 2022.

 [6]

LI B, ZHAO H R, ZHANG K P. A heterogeneous accelerated simulation framework for wind field dynamic model [J]. Iet Renewable Power Generation.

[7]

Mengxue Wang, Haoran Zhao, Hang Tian and Qiuwei Wu.Distributed Collaborative Optimization of Multi-region Integrated Energy System Based on Edge Computing Unit[J]. Frontiers in Energy Research

[8]

程建东,赵浩然,韩明哲.市场机制下推动风电参与电力市场的实践总结与启示[J]. 电网技术

[9]

Tian H, Zhao H, Liu C, Chen J. Iterative Linearization Approach for Optimal Scheduling of Multi-regional Integrated Energy System[J]. Frontiers in Energy Research, 2021: 208.

[10]

Tian H, Zhao H, Liu C, Chen J, Wu Q, Terzija V. A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system[J]. Applied Energy, 2022, 314: 11887

[11]

Y. Guo, H. Gao, Q. Wu, H.Zhao, J. ➢stergaard and M. Shahidehpour, "Enhanced Voltage Control of VSC-HVDC-Connected Offshore Wind Farms Based on Model Predictive Control," in IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 474-487, Jan. 2018.

[12]

S. Gao, H. Zhao, P. Wang, Y. Gui, V. Terzija and F. Blaabjerg, "Comparative Study of Symmetrical Controlled Grid-Connected Inverters," in IEEE Transactions on Power Electronics, doi: 10.1109/TPEL.2021.3122002.

[13]

罗嘉,赵浩然,高术宁,王鹏,孙开宁.基于显式模型预测控制和改进虚拟阻抗的双馈风机低电压穿越策略[J].电网技术,2021,45(05):1716-1723.

[14]

H.Zhao, Z.Lin, Q.Wu, S.Huang,"Model predictive control based coordinated control of multi-terminal HVDC for enhanced frequency oscillation damping,"International Journal of Electrical Power & Energy Systems,Vol.123,106328,2020.

[15]

C.Kim, Yonghao Gui, H.Zhao, W.Kim,"Coordinated LVRT Control for a Permanent Magnet Synchronous Generator Wind Turbine with Energy Storage System," Appl. Sci. 2020, 10, 3085,2020.

[16]

陈健,林咨良,赵浩然,吴秋伟,宋关羽.考虑信息耦合的电–气综合能源系统韧性优化方法[J].中国电机工程学报,2020,40(21):6854-6864.

[17]

王梦雪,赵浩然,田航,陈健,吴秋伟.典型综合能源系统仿真与规划平台综述[J].电网技术,2020,44(12):4702-4712.

[18]

B.Li, H.Zhao, S.Gao, S.Hu,"Digital real-time co-simulation platform of refined wind energy conversion system," International Journal of Electrical Power & Energy Systems, 117, 105676, 2020.

[19]

Luo J , Zhao H , Gao S , et al. A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control [J]. International Journal of Electrical Power & Energy Systems. 2020,119, 105783.

[20]

S. Gao, H. Zhao, Y. Gui, J. Luo and F. Blaabjerg, "Impedance Analysis of Voltage Source Converter Using Direct Power Control," in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2020.3020181.

[21]

S. Gao, H. Zhao, Y. Gui, D.Zhou and F. Blaabjerg, "An Improved Direct Power Control for Doubly Fed Induction Generator," in IEEE Transactions on Power Electronics, in press

[22]

S. Gao, H. Zhao, Y. Gui, D. Zhou, V. Terzija and F. Blaabjerg, "A Novel Direct Power Control for DFIG with Parallel Compensator under Unbalanced Grid Condition," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.3022495.

[23]

S. Huang, Q. Wu, H. Zhao and C. Li, "Distributed Optimization-Based Dynamic Tariff for Congestion Management in Distribution Networks," in IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 184-192, Jan. 2019, doi: 10.1109/TSG.2017.2735998.

[24]

H. Zhao, Q. Wu, S. Huang, H. Zhang, Y. Liu and Y. Xue, "Hierarchical Control of Thermostatically Controlled Loads for Primary Frequency Support," in IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 2986-2998, July 2018, doi: 10.1109/TSG.2016.2624509.

[25]

Y. Guo, H. Gao, Q. Wu, H. Zhao, J. ➢stergaard and M. Shahidehpour, "Enhanced Voltage Control of VSC-HVDC-Connected Offshore Wind Farms Based on Model Predictive Control," in IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 474-487, Jan. 2018, doi: 10.1109/TSTE.2017.2743005.

[26]

H. Zhao, Q. Wu, J. Wang, Z. Liu, Mohammad   Shahidehpour and Yusheng Xue, “Combined Active and Reactive Power Control of   Wind Farms based on Model Predictive Control,” IEEE Transactions on   Energy Conversion, Vol. 32, No. 3, pp. 1177-1187, 2017.

[27]

H. Zhao, Q. Wu, S. Huang, M. Shahidehpour, Q. Guo and   Y. Xue, “Fatigue Load Sensitivity Based Optimal Active Power Dispatch for   Wind Farms,” IEEE Transactions on Sustainable Energy, Vol. 8, No.   3, pp. 1247-1259, 2017.

[28]

H. Zhao, Q. Wu, Q. Guo, H. Sun and Y. Xue,   “Coordinated Voltage Control of a Wind Farm based on Model Predictive   Control,” IEEE Transactions on Sustainable Energy, Vol. 7, No.   4, pp. 1440-1451, 2016.

[29]

S.Huang, Q.Wu, H.Zhao, Z.Liu,"Geometry of Power Flows,Convex-relaxed Power Flows in Distribution Networks with High Penetration of Renewables,"Energy Procedia,vol.100,pp.1-7.2016.

[30]

 H. Zhao, Q. Wu, Q. Guo, H. Sun and Y. Xue,   “Distributed Model Predictive Control of A Wind Farm for Optimal Active Power   Control−Part I:   Clustering based Wind Turbine Model Linearization,” IEEE   Transactions on Sustainable Energy, Vol. 6, No. 3, pp.   831-839, 2015.

[31]

H. Zhao, Q. Wu, Q. Guo, H. Sun and Y. Xue,   “Distributed Model Predictive Control of A Wind Farm for Optimal Active Power   Control−Part II:   Implementation with Clustering based Piece-Wise Affine Wind Turbine Model,” IEEE   Transactions on Sustainable Energy, Vol. 6, No. 3, pp. 840-849,   2015.

[32]

W. Huang, Y.   Wang and H.   Zhao,   “A novel control strategy of PMSG based wind turbines for micro-grid   application,” Acta Energiae Solaris Sinica, Vol. 36, No. 1, pp.   61-69, 2015.

[33]

H. Zhao, Q. Wu, C. N. Rasmussen and M. Blanke, “L1 Adaptive   Speed Control of a Small Wind Energy Conversion System for Maximum Power   Point Tracking,” IEEE Transactions on Energy Conversion, Vol. 29,   No. 3, pp. 576-584, 2014.

[34]

S. Huang, Q. Wu, L. Cheng, Z. Liu and H. Zhao, “Uncertainty Management of Dynamic   Tariff Method for Congestion Management in Distribution Networks,” IEEE   Transactions on Power Systems, Vol. 31, No. 6, pp. 4340-4347, 2016.

[35]

H. Zhao, Q. Wu, Q.   Guo, H. Sun and Y. Xue, “Optimal Active Power Control of A Wind Farm Equipped   with Energy Storage System based on Distributed Model Predictive Control,” IET   Generation, Transmission and Distribution, Vol. 10, No. 3, pp.   669-677, 2016.

[36]

Korompili A , Wu Q , Zhao H . Review of VSC HVDC connection for offshore wind power integration[J]. Renewable & Sustainable Energy Reviews, 2016, 59:1405-1414.

[37]

H. Zhao, Q. Wu, S.   Hu, H. Xu and C. N. Rasmussen, “Review of Energy Storage System for Wind   Power Integration Support,” Applied Energy, Vol. 137, pp.   545-553, 2015.

[38]

 H. Zhao, Q. Wu, I.   Margaris, P. E. S➢rensen and B. Andresen, “Implementation and Validation of   IEC Generic Type 1A Wind Turbine Generator Model,” International   Transaction on Electrical Energy Systems, Vol. 25, No. 9, pp.   1804-1813, 2015.

[39]

H. Zhao, Q. Wu, C.   Wang, L. Cheng and C. N. Rasmussen, “Fuzzy Logic based Coordinated Control of   Battery Energy Storage System and Dispatchable Distributed Generation for   Microgrid,” Journal of Modern Power Systems and Clean Energy, Vol. 3, No.   3, pp. 422-428, 2015.




承担科研项目

1.海外高层次人才专项基金,主持。

2.信息能源耦合节点能量一致标度及其自适应持续进化建模,国家重点研发计划课题,主持。

3.电网故障下风电机组电压/频率暂态主动支撑技术研究,国家重点研发计划子课题,主持。

4.基于分布式模型预测控制的风电场有功控制系统的研究 ,国家自然基金项目,主持。

5.基于大型风电场实时仿真等值模型的电力系统动态仿真技术研究,国网科技项目,主持。

6.基于DIgSILENT的MMC模型开发与交流系统分析研究,国网科技项目,主持。

7.大规模风电场并网宽频震荡风险评估模块开发,国网科技项目,主持。

8.混合直流数字物理混合仿真接口算法研究,国网科技项目,主持。

9.2.5MW逆变器Digsilent建模测试,上电科项目,主持。

10.风电场精细化模型开发及实时在线仿真技术,电科院项目,主持。

11.新能源电站的实测建模与模型参数优化技术研究,国网科技项目,主持。

12.逆变器的PowerFactory建模,上电科项目,主持。

13.创新自筹-大规模风电场并网宽频震荡风险评估模块开发,电科院项目,主持。

14.大容量风电机组电网友好型控制技术,国家重点研发计划子课题,主持。


学术类型

可培养学术型、专业型研究生

课题组常年诚招相关研究方向的硕士、博士研究生及博士后,有意者可电话或邮件联系(邮件请附个人简历),成绩优秀者可与丹麦、德国的科研单位联合培养。

衷心期待您的加盟!


此外,本课题组为本科同学提供多种实习项目。这些项目帮助同学们深入了解新能源发电与并网、电力系统仿真以及综合能源运行和控制方向相关知识,协助同学们初步开展相关科研工作,同时提供各种软硬件科研平台指导和辅助同学们参加各种科创、发明比赛,并提供补助,热烈欢迎同学们加入!



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