Academic Identity

 Second-level professor of Shandong University，“Taishan Scholar” of Shandong Province，Director of the Key Laboratory of "Intelligent Power Grid Dispatching and Control" of the Ministry of Education；National-level candidate for the "Hundreds and Thousands of Talents Project"，Special Government Allowance Expert from the State Council，Outstanding Talents of the New Century from the Ministry of Education，Young and middle-aged experts with outstanding contributions in Shandong Province；IEEESenior member, director of China Electrical Engineering Society,Power system automation, power grid technology,J. of Modern Power Systems  and Clean Energy、CSEE  J. of Power and Energy Systems、Int. J. of Electrical Power and Energy SystemsEditorial board member.

Work experience

Personal information

Name

Liu Yutian

Gender

Male

Date of birth

1964-7

Place of Origin

Qingzhou

Professional title

Professor

Position

Telephone

88392904

Email

liuyt@sdu.edu.cn

18.5 to present Professor, School of Electrical Engineering, Shandong University

01.1-18.4 Professor of School of Electrical Engineering, Shandong University、Doctoral Supervisor、Vice Dean、Dean；
00.1-01.1 Visiting scholar at Washington State University, USA;
94.12-00.1 Associate professor, professor and doctoral supervisor of Shandong University of Technology;
92.2-94.12 Xi'an Jiaotong University, full-time (on-the-job) studying for a doctoral degree;
84.7-92.2 Teacher of Shandong University of Technology;
80.9-84.7 Studying in the Electric Power Department of Shandong University of Technology.

Research direction

New power system operation and control: complex power system recovery strategies and optimization decisions，Safety and Stability Analysis and Control of High-proportion New Energy AC-DC Hybrid Power Grid

Application of artificial intelligence in power systems: deep learning，Neural Network，Evolutionary Computation，Fuzzy system

Academic works

Some recent academic journal papers:

9. Jiongcheng Yan, Changgang Li, Yutian Liu*, Dongxiao Yu, Zhiping Jia. Incremental model evolution for power system security early warning based on knowledge distillation and active learning. IEEE Transactions on Industrial Informatics, 10.1109/TII.2024.3431034

8. Runjia Sun, Yutian Liu*. Hybrid reinforcement learning for power transmission network self-healing considering wind power. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9):6405-6415

7. Weipeng Liu, Yutian Liu*, Lei Wu. Model Predictive Control based voltage regulation strategy using wind farm as black-start source. IEEE Transactions on Sustainable Energy, 2023, 14(2):1122-1134

6. Jiongcheng Yan, Changgang Li, Yutian Liu*. Insecurity early warning for large scale hybrid AC/DC grids based on decision tree and semi-supervised deep learning. IEEE Transactions on Power Systems, 2021, 36(6): 5020-5031

5. Changgang Li, Yue Wu, Hengxu Zhang, Hua Ye, Yutian Liu*, Yilu Liu. STEPS: A portable numerical simulation toolkit for electrical power system dynamic studies. IEEE Transactions on Power Systems, 2021, 36(4):3216-3226

4. Hua Ye, Shilin Gao, Guanqun Li, Yutian Liu*. Efficient estimation and characteristic analysis of short-circuit currents for MMC-MTDC grids. IEEE Transactions on Industrial Electronics, 2021, 68(1): 258-269

3. Zimin Jiang, Yutian Liu*. On the feasibility of harmonic adaptability remote testing method. IEEE Transactions on Instrumentation and Measurement, 2020, 69(10):8156-8166

2. Zimin Jiang, Yutian Liu*. Low-voltage ride-through remote testing method for offshore wind turbines. IEEE Transactions on Instrumentation and Measurement, 2020, 69(6):2905-2913

1. Runjia Sun, Yutian Liu*, Liang Wang. An online generator start-up algorithm for transmission system self-healing based on MCTS and sparse autoencoder. IEEE Transactions on Power Systems, 2019, 34(3): 2061-2070

Undertake scientific research projects

6. Online assessment of operation risks of large-scale new energy power generation bases、Early warning and prevention and control technology，National Key Research and Development Plan, 2022-2026

5. Research on the whole process recovery control theory and method of new power system，National Natural Science Foundation of China and State Grid Corporation of China，2022-2026

4. Large power grid integrated security risk prevention and control and intelligent decision-making technology，National Key Research and Development Plan，2017-2020

3. Research on the impact of long-distance submarine cables and harmonics on wind turbine grid connection detection，National Science and Technology Support Plan，2015-2017

2. Limited controllability of wind turbine output and ramping control of regional wind power output，National Key Basic Research and Development Plan，2012-2016

1. Research and system development of regional power grid dispatching operation technology considering combined power generation system，National Science and Technology Support Plan，2010-2013

Enrollment type:

Academic and professional degrees, doctoral and master’s degrees