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清华大学电机系

清华大学电机系本科生

清华大学电机系研究生

清华大学电机系校友会

清华大学能源互联网创新研究院

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Current Location: Home > faculties > Qiao Ying

Qiao Ying

Research Direction

renewable energy prediction and integration technology, power system security and control

West Main Building, 3-108 Department of Electrical Engineering, Tsinghua University Beijing, 100084, P. R. China

qiaoying@tsinghua.edu.cn

010-62782657

  • Biography
  • Teaching
  • Research Project
  • Publications
  • Social service

Biography

Ying QIAO has been appointed Associate Professor of Electrical Engineering Department of Tsinghua University since 2015. She holds Bachelor's degrees of both Electrical Power Engineering and Applied Mathematics in July, 2002 from Shanghai Jiaotong University, and a Ph.D in Electrical Power Engineering from Tsinghua University in Jan, 2008. Her research interests include renewable energy prediction and integration technology, and power system security. She has been the PI of 30 academic and industrial projects. She has published nearly 100 papers, including 15 SCI index, and more than 70 EI index. Her paper has been cited by others for more than 1000 times.

Educational Background

 2002-2008, Ph.D, Power System Automation, Tsinghua University, China

 1998-2002, Bachelor of Eng., Electrical Engineering, Shanghai Jiaotong University, China

 1998-2002, Bachelor of Eng., Applied Mathematics, Shanghai Jiaotong University, China

Work Experience

 2015 - present, Assistant Professor, Tsinghua University, China

 2010-2014, Assistant Professor, Tsinghua University, China

 2008-2010, Post Ph.D, Tsinghua University, China

Honors and Awards

(1) Teaching Award

 First Prize of Head Teacher Award, Tsinghua University, 2014

 (2) Project Award

 First Prize of Science & Technology Progress Award, Gansu Providence, 2016 (11)

 First Prize of Science & Technology Progress Award, State Grid Jibei Electrical Power Company, 2018 (3)

 First Prize of Electricity Innovation Award, China Electricity Council, 2018 (8)

Teaching

(1) Undergraduates Courses

 Electrical and Electronic Basics

 Automation Control Theory

(2) Postgraduates Courses

 Large-scale Renewable Generation Integration Operation and Control

Graduate Advising

(1) Graduated Students

 M.S. (7)

(1) Research Interests

 Power System Flexibility

 Renewable Energy Prediction & Integration

 Converter-dominated Power System

(2) Selected Academic Funds

 2017-2021, Multi-Energy Coordinated Operation to Improve Renewable Energy Accommodation, Senior Group Member

 2012~2016，Wind Power Prediction based on the Temporal and Spatial Characteristics of Wind Resources, Senior Group Member

 2012~ 2014，Research and Development of the Cluster of Wind Farms and PV Stations, National 863 Project, Senior Group Member

(3) Selected Industry Projects

 2019-2020, Storage Operation and Planning in the Received Power Grid, State Grid Jiangsu Electric Power Company (Senior Group Member)

 2016-2018, High Renewable Energy Power System Nonsequent Probabilistic Production Simulation Methods, State Grid Beijing Electric Power Company (PI)

 2014 - 2015, Study on Wind Power and PV Modeling Technology, State Grid Ningxia Electric Power Research Institute (PI)

(1) Selected International Journal Papers Since 2015

1) Zongxiang Lu, Haibo Li, Ying Qiao. Probabilistic Flexibility Evaluation for Power System Planning Considering Its Association With Renewable Power Curtailment. IEEE Transactions on Power Systems, 2018, 3(3): 3285-3295

2) Fan Zhang, Ying Qiao, Zongxiang Lu*. Extreme Wind Power Forecast Error Analysis Considering its Application in Day-ahead Reserve Capacity Planning. IET Renewable Power Generation, 2018, 12(16): 1923-1930

3) Kunpeng Shi, Ying Qiao, Wei Zhao, Qing Wang, Menghua Liu, Zongxiang Lu*. An improved random forest model of short-term wind-power forecasting to enhance accuracy, efficiency, and robustness. Wind Energy, 2018, 21(12): 1383–1394.

4) Xiaoqian Guo, Zongxiang Lu, Ying Qiao*. Fast Optimal Power Allocation Algorithm for Multi-Terminal AC/DC Hybrid Grids With Wind Power Integration. IET Renewable Power Generation, 2018, 12(15): 1762 – 1770

5) Haibo Li; Zongxiang Lu; Ying Qiao; Ningbo Wang. A Non-sequential Probabilistic Production Simulation Method for Wind Energy Curtailment Evaluation Considering the Seasonal Heat Supply Constraints. IEEE Transactions on Sustainable Energy, 2018, 9(1): 462-473

(2) Selected Conference Papers Since 2015

1) Haibo Li, Zongxiang Lu, Ying Qiao. Flexibility Resource and Demand Balance Mechanism in Power System Planning Considering High Penetration of Renewable Energy. 2017 IEEE Power and Energy Society General Meeting, Chicago, IL USA, 16 – 20 July 2017.

2) Tanghai Xu, Zongxiang Lu, Ying Qiao, Jun An. A source-load-storage integrated planning model for power systems with high penetration of renewable energy. 2018 International Conference on Power System Technology, Guangzhou, China, 6-8 November 2018: 1653-1660.

3) Jiheng Jiang, Ying Qiao, Zongxiang Lu. The Probabilistic Production Simulation for Renewable Energy Power System Considering the Operation of Hydropower. 2018 International Conference on Power System Technology, Guangzhou, China, 6-8 November 2018: 331-338.

4) Yisha Lin, Ying Qiao, Zongxiang Lu. Full-Link Energy Efficiency Analysis of Wind Powered Heating System based on Energy Flow Chart. 2018 International Conference on Power System Technology, Guangzhou, China, 6-8 November 2018: 4349-4356.

(3) Selected Chinese Journal Papers since 2015

1) Ying Qiao, Zongxiang Lu, Ming Yong. Improve the Wind Power Prediction Preciseness. Power Technology，2017，41(10)：3261-3269

2) Gong Yingfei, Zongxiang Lu, Ying Qiao, et al. Photovoltaic power generation prediction [J]. Automation of Electric Power Systems，2016，40(4): 140-151.

3) Zongxiang Lu, Haibo Li, Ying Qiao. Flexibility Evaluation and Supply/Demand Balance Principle of Power System With High-penetration Renewable Electricity [J] . Proceedings of the CSEE, 2017, 37(1): 9-19.

4) Zongxiang Lu, Haibo Li, Ying Qiao. An Overview on Power System Flexibility Planning Considering High Proportion of Renewa-ble Energy [J]. Automation of Electric Power Systems, 2016, 40(13): 147-158.

(4) Authorized Patent

 Ying Qiao, Huifen Chen, Zongxiang Lu. A Comprehensive Voltage Control Method of Wind Farm, National Patent, ZL 201210066671.9, 2014.4.16

 Ying Qiao, Chen Shen, Qiang Lu. A Selection Method of Power System Splitting Strategies National Patent,ZL 200710175780.3, 2009.9.9

(5) Computer Software Copyright

1. Huifen Chen, Ying Qiao, Zongxiang Lu, et al. Automatical Voltage Control of Wind Farm V1.0， 2012SR098791

2. Ying Qiao, Zongxiang Lu, Fei Xu, et al. Data Analysis Tool on Regional Power Grid v1.0， 2013SR028833

3. Ying Qiao, Fei Xu, Zongxiang Lu, et al. Wind Power Prediction System v1.0， 2013SR020817

4. Ying Qiao, Zongxiang Lu, Fei Xu, et al. Dynamic Station Estimation System v1.0， 2013SR149570

5. Zongxiang Lu, Ying Qiao， Confidence Interval Estimation of Very-Short-Term Wind Power Prediction v1.0，2014SR152079

6. Zongxiang Lu, Ying Qiao，Short-term PV Prediction System v1.0， 2014SR136515

(1) Professional Society Membership

 IEEE Member

 GIGRE Member