Electric Power System Research Institute

Academic identity

Professor，Doctoral supervisor，Special Expert of "Taishan Scholars" in Shandong Province，Shandong Province Excellent Technology Workers，The top 2%of the top 2%of the top scientist influence rankings，The Deputy Chairman of the Power System and its automation professional committee of the China Machinery Industrial Education Association，Deputy Chairman of the Smart Energy Bid Committee of China Electricity Technology Society，Energy Meteorological China Electrical Engineering Society、Member of the Electric Power Market Special Committee，Technical Expert of the International Electrician Commission (IEC)，Outstanding young scholar at Shandong University，Senior Member of the Society of International Electrical Electronics (IEEE)，IEEE Transactions on Power Systems / Power Engineering Letters / Industry Applications, IET Renewable Power Generation, Protection and Control of Modern Power Systems, Electricity System Automation，High voltage technology and other domestic and foreign journal editors

Work experience

2024.01- to this day，Deputy Dean of the undergraduate college of Shandong University

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

2018.09- to this day，School of Electrical Engineering, Shandong University，Professor

2016.06- to this day，School of Electrical Engineering, Shandong University，Doctoral supervisor

2015.10-2016.10，The National Laboratory of Agan, USA，Visiting scholars

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

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

Origin

Yantai City, Shandong Province

Title

Professor

Job

Deputy Dean of Undergraduate Stadium

Phone

0531-88364961

email

myang@sdu.edu.cn

Research direction

Refined numerical weather forecast、New Energy Power Generation、Running scheduling of the power system、Power market operation and auxiliary decision -making

Academic works

Publishing monograph (part):

[1] Effective static and safe domain method of the running scheduling of the power system [M]. Beijing: Machinery Industry Press，2019.

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

[3] Advanced Forecasting Technology of Scenery New Energy Power Generation [M]. Beijing: Machinery Industry Press，2023.

Formulate standards (part):

[1] International Standards，IEC-TR63043，"Renewable Energy Power Forecast Technology"

[2] Group standard，T/CES 138-2022，"Technical Requirements for Wind Power Power Probability Prediction"

[3]Group standard，T/CES 139-2022，"Technical Requirements for Forecasting of Power Power Power Power Power Power Power Power"

Published papers (part):

[1] wang mingqiang, yang Ming*, fang zhen, WANG MENGXIA, wu Qiuwei., 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 Modify 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. Confident, Interval, distributed distributionally Robust Real-Time Economic Disides of the 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 Sparsian Probability Ion [J]. International Journal of Electrical Power & Energy Systems. 2020, 123: 106233.

undertaking scientific research projects

Vertical project (part):

[1]National Key R & D Plan "Energy Storage and Smart Grid Technology" special，Large -scale wind power/photovoltaic multi -time power supply capacity prediction technology -extreme and turning weather underworld/photovoltaic power climbing and insufficient power supply capacity prediction technology.

[2]National Natural Science Foundation Smart Grid Union Fund，Regional energy Internet collaborative operation key technologies and simulation platform research based on flexible excavation.

[3]National Natural Science Foundation on Face，Short -term load prediction Self -adaptive dynamic modeling theory and method research.

[4]National Key R & D Plan China and Intergovernmental Cooperation Projects of China，Active distribution network -based active distribution network collaborative operation of key technologies and simulation platform research.

[5]National Key R & D Plan "Smart Grid Technology and Equipment" special，Wind power/photovoltaic power prediction technology and application that promotes renewable energy consumption — multi -spatial standard wind power/photovoltaic short -term power prediction technology.

Teaching and Research Project (Part):

[1]Key Project for Teaching Reform Projects of Undergraduate University in Shandong Province，"Reform of Electrical Engineering and Automation Professional Project Guide Cultivation System Reform" Virtual Teaching and Research Room Construction Research.

[2]Shandong Province Virtual simulation experimental teaching project，Northeast Asia Energy Internet Virtual simulation experimental platform construction.

[3]The Ministry of Education and Academic Cooperation Collaborative Education Project，Multi -scenario energy supply and demand simulation experiments in the context of energy Internet construction.

[4]Comprehensive Education and Teaching Reform of Shandong University，International electrical engineering talent training reform and practice that meets the needs of the “Belt and Road”.

Academic Type

Academic type, professional type