Power System Research Institute

Academic Identity

Professor，Doctoral Supervisor，Shandong Province “Taishan Scholar” Distinguished Expert，Outstanding scientific and technological workers in Shandong Province，Influence ranking of the top 2% of the world’s top scientists，Deputy Chairman of the Power System and Automation Professional Committee of China Machinery Industry Education Association，Deputy Chairman of the Smart Energy Standards Committee of China Electrotechnical Society，China Electrical Engineering Society Energy Meteorology、Member of the Electricity Market Special Committee，International Electrotechnical Commission (IEC) technical expert，Outstanding young and middle-aged scholars from Shandong University，Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)，IEEE Transactions on Power Systems / Power Engineering Letters / Industry Applications, IET Renewable Power Generation, Protection and Control of Modern Power Systems, Power system automation，Editorial Board Member of High Voltage Technology and Other Domestic and Foreign Journals

Work experience

2024.01-present，Vice Dean of Undergraduate School of Shandong University

2018.04-2023.12，School of Electrical Engineering, Shandong University，Vice Dean

2018.09-present，School of Electrical Engineering, Shandong University，Professor

2016.06-present，School of Electrical Engineering, Shandong University，Doctoral Supervisor

2015.10-2016.10，Argonne National Laboratory, USA，Visiting Scholar

2014.05-2015.07，Science and Technology Development Center of the Ministry of Education，Work secondment

2012.01-2018.08，School of Electrical Engineering, Shandong University，Associate Professor

2009.07-2011.12，School of Electrical Engineering, Shandong University，Lecturer

Personal information

Name

Yang Ming

Gender

Male

Date of birth

1980-08-06

Place of Origin

Yantai City, Shandong Province

Professional title

Professor

Position

Vice Dean of Undergraduate School

Telephone

0531-88364961

Email

myang@sdu.edu.cn

Research direction

Refined numerical weather forecast、New energy power generation forecast、Power system operation dispatch、Electricity market operation and auxiliary decision-making

Academic works

Published monographs (part):

[1] Effective static safety domain method for power system operation scheduling [M]. Beijing: Machinery Industry Press，2019.

[2] Effective security domain and application of new energy consumption [M]. Beijing: Machinery Industry Press，2023.

[3] Advanced prediction technology for wind and solar new energy power generation [M]. Beijing: Machinery Industry Press，2023.

Develop standards (part):

[1]International Standard，IEC-TR63043，《Renewable Energy Power Forecast Technology》

[2]Group Standard，T/CES 138-2022，"Technical Requirements for Probabilistic Prediction of Wind Power Power"

[3]Group Standard，T/CES 139-2022，"Technical Requirements for Probabilistic Prediction of Photovoltaic Power Generation"

Published paper (part):

[1]Wang Mingqiang, Yang Ming*, Fang Zhen, Wang Mengxia, Wu Qiuwei. A Practical Feeder Planning Model for Urban Distribution System [J], IEEE Transactions on Power Systems, 2023, 38(02): 1297-1308.

[2]Li Menglin, Yang Ming*, Yu Yixiao, Wei-Jen Lee. A Wind Speed ​​Correction Method Based on Modified Hidden Markov Model for Enhancing Wind Power Forecast [J], IEEE Transactions on Industry Applications, 2022, 58(01): 656-666.

[3]Li Peng, Yang Ming*, Wu Qiuwei. Confidence Interval Based Distributionally Robust Real-Time Economic Dispatch Approach Considering Wind Power Accommodation Risk [J], IEEE Transactions on Sustainable Energy, 2021, 12(01): 58-69.

[4]Si Zhiyuan, Yang Ming*, Yu Yixiao, Ding Tingting. Photovoltaic power forecast based on satellite images considering effects of solar position [J], Applied Energy, 2021, 302: 117514.

[5]Zeng Xiangjun; Yang Ming*; Bo Yifan. Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation[J]. International Journal of Electrical Power & Energy Systems. 2020, 123: 106233.

Undertake scientific research projects

Vertical project (part):

[1]National Key R&D Program "Energy Storage and Smart Grid Technology" Special Project，Large-scale wind power/photovoltaic multi-time scale power supply capacity prediction technology—wind power/photovoltaic power ramping and power supply capacity shortage risk prediction technology under extreme and transitional weather.

[2]National Natural Science Foundation Smart Grid Joint Fund，Research on key technologies and simulation platforms for regional energy Internet collaborative operation based on flexibility mining.

[3]National Natural Science Foundation of China General Project，Research on the theory and method of adaptive dynamic modeling of short-term load forecasting.

[4]National Key R&D Program China-US Intergovernmental Cooperation Project，Research on key technologies and simulation platform for collaborative operation of active distribution network based on multi-dimensional flexible mining.

[5]National Key R&D Program "Smart Grid Technology and Equipment" Special Project，Wind power/photovoltaic power generation power forecasting technology and application to promote renewable energy consumption—Multi-spatial scale wind power/photovoltaic short-term power forecasting and probability forecasting technology.

Teaching and research project (part):

[1]Key Project of Shandong Province Undergraduate College Teaching Reform Project，Research on the Construction of Virtual Teaching and Research Section of "Reform of Guided Training System for Electrical Engineering and Automation Professional Projects".

[2]Shandong Province Virtual Simulation Experimental Teaching Project，Construction of Northeast Asia Energy Internet Virtual Simulation Experiment Platform.

[3]China Ministry of Education Industry-Academic Cooperation Collaborative Education Project，Multi-scenario energy supply and demand simulation experiment under the background of energy Internet construction.

[4]Shandong University Education and Teaching Comprehensive Reform Project，Reform and practice of international electrical engineering talent training to adapt to the needs of the “One Belt, One Road” initiative.

Academic Type

Academic, professional