Power   system Research Institute

Academic status

IEEE   Senior Member

Thousand   Youth Talents Plan Project of Thousand Youth Talents

Qilu   young scholars

Associate   Editor of IET Journal of Engineering,

Member   of CIGRE C6 workgroup，

Editor   of Special Issue of IEEE

Transactions   on Energy Conversion

Vice Chairman of Shandong Energy Research Association

Personal message

Name

Zhao Haoran

Gender

man

Date   of Birth

1983.04

Hometown

Shandong   Jining

Professional   Title

professor

Position

Telephone

0531-81696100

Email

hzhao@sdu.edu.cn

Working Experience

2001-2005   Bachelor of Engineering, School of Electrical Engineering, Shandong   University

2005-2007   engineer, Jinan Power supply Company, State Grid

2007-2010   Master of Engineering, Department of Electrical Science, Berlin Polytechnic   University, Germany

2009   part-time engineer in Younicos AG, Germany

2010-2011   DIgSILENT GmbH Project engineer, Germany

2011-2014   PhD in Engineering, Power Energy Centre, Danish University of Science and   Technology

2014-2017   Postdoctoral candidate, Power Energy Centre, Danish University of Science and   Technology

2017-present   Professor, School of Electrical Engineering, Shandong University

Research Direction

Wind   turbine and wind farm control, wind power grid connection, energy storage   system application, large-scale wind power system analysis

Publications

1. H.   Zhao, Q. Wu,   S. Huang, Y. Liu and Y. Xue, “Hierarchical Control of Thermostatically Controller   Loads for Primary Frequency Control,” IEEE Transactions on Smart Grid, accepted,   in press.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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,”   IEEE   Transactions on Sustainable Energy, accepted, in press.

9. S.     Huang, Q. Wu, H. Zhao and C. Li, “Distributed   Optimization based Dynamic Tariff for Congestion Management in Distribution   Networks,” IEEE   Transactions on   Smart Grid,   accepted, in press.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. A.   Korompili, Q. Wu and H. Zhao, “Review of VSC HVDC Connection     for Offshore Wind Power Integration,” Renewable &   Sustainable   Energy Reviews, accepted, in press.

16. H. Zhao, Q. Wu, I.   Margaris and P.   E. S➢rensen, “Implementation of IEC   Generic Model of Type 1   Wind Turbine Generator in DIgSILENT   PowerFactory,” Automation     of Electric Power Systems, Vol. 37, Issue 8, pp. 26-33, 2013

17. S. T. Cha,   Q. Wu, H.   Zhao and   C. Wang, “Frequency   Control for Island Operation of Broholm Power System,” Energy   Procedia, Vol. 61, pp. 1389-1393, 2014.

18. S. Huang, Q.   Wu, H.   Zhao and   Z. Liu, “Geometry of   Power Flows and Convex-relaxed Power Flows in   Distribution Networks   with High Penetration of Renewables,” Energy   Procedia,, accepted, in press.

19. 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.

Undergoing Research Products

1. Natural   Science Foundation of China: research on active power control system of wind   farm based on distributed model predictive control.

2. One   thousand people plan youth project construction funds, the chair.

3. Global   Energy Internet Research Institute project: MMC model development and   communication system analysis based on DIgSILENT, chair.

4. Research   on power system dynamic simulation technology based on real-time equivalent   model of large wind farm.

Has chaired   and participated in many EU and Nordic energy projects, development of power   system software products and applications for EU invention patents.

Academic types

Teaching   and scientific research type

The subject   group is always looking for masters, Ph.D. and postdoctoral candidates in   related fields of research. Interested parties can contact us by phone or   email (please attach your resume by email).

Can be   co-cultured with scientific research institutions in Denmark and Germany.   Sincerely look forward to your joining!