Renewable Energy and Smart Grid Research Institute

Academic Identity

IEEE Member

Personal information

Name

Wang Mingqiang

Gender

Male

Date of birth

1982.07

Place of Origin

Linyi, Shandong

Professional title

Associate Professor/Ph.D. Supervisor

Position

Telephone

15069163160

Email

wang0367@sdu.edu.cn

Work experience

2000.9--2004.7 School of Electrical Engineering, Shandong University Electrical Engineering and Automation Major Bachelor

2004.9--2007.7 School of Electrical Engineering, Shandong University Electrical Engineering and Automation Major Master

2007.8--2011.6 Department of Electrical Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore Electrical Engineering and Automation Major Doctor

2011.6--2013.3Department of Electrical Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore  Electrical Engineering and Automation Major Postdoc

2013.4--2015.9 School of Electrical Engineering, Shandong University Lecturer

2015.9--Present School of Electrical Engineering, Shandong University Associate Professor

Research direction

Safe and economical operation of power system, microgrid

Academic works

Published in journals

1) M. Q. Wang* and H. B. Gooi, “Spinning reserve estimation in   microgrids,” IEEE Trans.   Power Syst., vol. 26, no. 3, pp. 1164-1174, Aug. 2011.

2) M. Q. Wang*, H. B. Gooi and S. X. Chen, “Optimizing probabilistic   spinning reserve using an analytical EENS formulation,” IEE Proc.-Gener.   Transm. Distrib., vol. 5, no. 7, pp. 772-780, Aug. 2011.

3) M. Q. Wang*, H. B. Gooi, S. X. Chen, and S. Lu, “A mixed integer   quadratic programming for dynamic economic dispatch with valve point effect,” IEEE Trans. Power Syst., vol. 29, no. 5, pp. 2097-2106, 2014.

4) M. Q. Wang*, H. B. Gooi and X. S. Han, “A tradeoff between unit   capacity and average production cost in spinning reserve optimization,” Int   J Electr Power Energy Syst, vol. 71, pp. 215-221, Oct. 2015.

5) Ming Yang, Mingqiang Wang*, Fenglu Cheng, and Wei-jen Lee, “Robust   Economic Dispatch Considering Automatic Generation Control with Affine   Recourse Process,” Int J Electr Power Energy Syst.,   vol. 81, pp. 289-298, Oct., 2016.

6) Ming Yang, Dong Wang, Mingqiang Wang*, Xueshan Han, Wei-jen Lee,   Daowei Liu, Shiying Ma, “A Probabilistic Approach for Power System Injection   Shift Factor Estimation,” Int J Electr   Power Energy Syst, vol. 81, pp. 317-323, Oct., 2016.

7) Mengxia Wang, Mingqiang Wang*,   Jinxin Huang, Zhe Jiang, and Jinyan Huang, “A Thermal Rating Calculation Approach for WindPower   Grid-Integrated Overhead Lines,”   Energies, accepted.

8) Yanling Wang, Yang Mo, Mingqiang Wang*, Likai Liang,   Pei Zhang, “Impact of Conductor Temperature Time–Space Variation on   the Power System Operational State,”   Energies, vol. 11, no. 4, pp. 1-15, Apri. 2018.

9) S. X. Chen, H. B. Gooi and M. Q. Wang, “Sizing of energy storage for   microgrids,” IEEE Trans.   Smart Gird, vol. 3, no.   1, pp. 142-151, Mar. 2012.

10) S. X. Chen, H. B. Gooi and M. Q.   Wang, “Solar radiation forecast based on   fuzzy logic and neural networks,” Solar Energy, vol. 60, pp. 195-201,   Dec. 2012.

11) S. X. Chen, H. B. Gooi, N. Xia   and M. Q. Wang, “Modelling of lithium-ion   battery for online energy management systems,” IET Electr. Syst.   Transp., vol. 2, no. 4, pp. 202-210, Dec. 2012.

12) S. X. Chen, Y. S. Foo, Eddy, H.   B. Gooi, M. Q. Wang and S. F. Lu, “A centralized reactive power compensation   system for LV distribution networks,” IEEE Trans. Power Syst., vol.   30, no. 1, pp. 274-284, Jan. 2015.

13) N. Xia, H. B. Gooi, S. X. Chen,   and M. Q. Wang, “Redundancy based PMU placement in state estimation,” Sustainable Energy, Grids and Networks,   vol. 2, pp. 23-31, Jun. 2015.

14) Shaofeng Lu, Ming Qiang Wang,   Paul Weston, Shuaixun Chen, Jie Yang, “Partial Train Speed ​​Trajectory   Optimization Using Mixed Integer Linear Programming,” IEEE Trans. Intel.   Transp. Syst., vol. 17, no.   10, pp. 2911-2920, Mar., 2016.

15) Jun Zhang, Ke-Jun Li, Mingqiang   Wang, and Wei-Jen Lee, etc., “A Bi-level Program for the Planning of an   Islanded Microgrid Including CAES,” IEEE Trans. Ind. Appl., vol. 52, no. 4, pp. 2768-2777, Dec.,   2016.

16) Kaiqi Sun, Ke-Jun   Li, Zhuo-di Wang, Huadong Sun, Mingqiang Wang,   Zhijie Liu, Meiyan Wang, “Operation Modes and Combination Control for Urban   Multi-voltage-level DC Grid,” IEEE Trans. Power. Delivery., vol. 33, no. 1, pp. 360-370, Feb., 2018.

17) Donglei Sun, Xueshan Han, Bo   Zhang, Mingqiang Wang, Tianyu Ding, “Frequency aware robust economic   dispatch,” J. Mod. Power Syst. Clean   Energy, vol. 4, no. 2, pp. 200-210, 2016.

18) Zhang Qiang, Han Xueshan, Zhang Yuanpeng, Pan Ke, Wang Mingqiang. Calculation method of maximum transmission capacity based on decomposed optimal power flow under static safety constraints[J]. Power grid technology,2006, 30（23)：26-31.

19) Yang Jian, Zhang Li, Wang Mingqiang, Han Xueshan. Wind power forecast error simulation method taking into account the impact of output level and autocorrelation[J]. Power automation equipment,2017, 37(9):96-101.

20) Wang Yanling; Liang Likai; Han Xueshan; Wang Mengxia; Wang Mingqiang. Reliability analysis of distribution network taking into account dynamic thermal setting[J]. Chinese Journal of Electrical Engineering,2017, 37(5):1410-1416.

21) Liu Guojing, Han Xueshan, Wang Shang, Yang Ming, Wang Mingqiang. Wind-storage cooperation decision-making based on reinforcement learning method[J]. Power Grid Technology,2016,40(9):2729-2736.

22) Liu Guojing; Han Xueshan; Yang Ming; Wang Mingqiang; Lu Xiang. Two-layer optimization model and analysis of source network conflict measurement[J].Power Grid Technology,2016, 40(10):3118-3124.

23) Xu Yijing, Han Xueshan, Wang Yong, Yang Ming, Wang Mingqiang. Condition-based maintenance decision model related to equipment time-varying performance[J].Chinese Journal of Electrical Engineering, 2018, 38(5):1457-1466.

24) Suga Xuehui, Zhang Li, Yang Libin, Han Xueshan, Wang Mingqiang. In-depth peak shaving mechanism based on Kaldor improvement under high proportion of wind power grid connection[J]. Power automation,2018, 42(8):110-118.

25) Wang Mengxia, Han Xueshan, Wei Zhiqing, Wang Mingqiang, Zhang Qiang. Stress estimation of overhead lines based on electrothermal coupled power flow under the power grid operating environment[J]. Journal of Electrical Engineering,2018.

Undertake scientific research projects

Vertical item:

Research on backup decision-making under the control of source network 2014-2017 National Natural Science Foundation of China Youth Fund 2210,000; Project leader

Horizontal project

1 Electricity for AVIC Commercial Aviation Engine Port Base35kvThe impact of the access system on the power quality of the power grid 2014-2016 3.510,000; project leader

2 Research on the theory of source-network cooperative dispatching in the context of UHV access 2015-2017 44.510,000; project leader

3 Supplementary assessment of the impact of the Jiaotong University aero-engine testing base electrical capacity increase project on power grid power quality 2015-2016 2.110,000; project leader

4 Research on multi-objective optimization planning of active distribution network considering the access of new elements 2016-2018 58.610,000; project leader

5 Research on independent grid power planning modeling and algorithm 2017-2018 1510,000; project leader

6 Research on the transmission network planning system taking into account the source-grid synergy under the condition of high proportion of renewable energy being connected to the grid 2017-2020 69.610,000; Co-responsible person

7 Research on time-varying performance evaluation and optimization planning of UHV AC and DC feed-in receiving end power grid 2018-2020 74.610,000; project leader

8 Research on key technologies of active distribution network situation awareness and multi-source collaborative optimization operation 2018-2022 55.610,000; project leader

Academic Type

Teaching and scientific research type