Electric Power System Research Institute

Academic identity

IEEE PES Jinan Branch Baku

IEEE PES (China) Electric Power System Dynamic Technical Committee Secretary of the Security and Stable Analysis Committee of DC.com

Work experience

2023.7-Today, School of Electrical Engineering, Shandong University, Associate Researcher

2020.7–2023.6, School of Electrical Engineering, Shandong University, postdoctoral

2015.9–2020.6, Electrical Engineering, Shandong University, Ph.D. in Engineering

2011.9–2015.6, Shandong University Electrical Engineering and Automation, Bachelor of Engineering

Personal information

Name Sun Runjia

Gender Male

Date of birth 1993.02

Origin Shandong Yantai

Title Associate Researcher

Job No

Phone 13256128382

email sunrunjia@sdu.edu.cn

Research direction

The power system resume control

Grid toughness

Electric power system security defense

Academic works

Journal papers

[1] Runjia Sun, Yutian Liu. Hybrid Reinforcement Learning for Power Transmission Network-Healing Considering Wind Power [J], IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (9): 6405-6415.

[2] Runjia Sun, yutian liu, liang Wang. An Online Generator Start-Up Algorithm for Transmission System Self-Healing Based on MCTS and Sparse AutoEncoder [J], IEEE Transactions on Power Systems, 2019, 34 (3): 2061-2070.

[3] Runjia Sun, yutian liu, Hainan zhu, et. Al. A network reciration approach for power system restoration base on preference-back multiobjective option [j], Applied Soft Computing, 2019, 83: 105656.

[4] Sun Runjia, Liu Yutian. The crew based on deep learning and Monte Carlo search is restored to online decision [j], Automation of power system, 2018, 42 (14): 40-47

[5] Rizwan Ul Hassan, Runjia Sun, Yutian Liu. Online Static Security Assessment for Cascading Failure USID Stacked de-Noising Auto-Encoder [J], International Journal of Electrical Power & Energy Systems , 2022, 137: 107852.

[6] RUI FAN, Runjia Sun, yutian liu, ET. Al. Adaptive Power Load Restition Flexible Control of Air Conditioners for Resiliation [J]. Internal Journal of Electr iCal Power & Energy Systems, 2023, 148: 108959.

[7] RUI FAN, Runjia Sun, yutian liu, El. Al. An Online DECISION-MAKING METHOD BASED on Multi-Agent Internet for Coordinated LoadRation [J]. Frontiers in Energy Research, 2022, 10: 992996.

[8] Fan Rui, Sun Runjia, Liu Yutian. Considering the load recovery reduction method of the demand for the load demand of the air conditioner [J]., 2022, 37 (11): 2869-2877.

[9] Liu Tianhao, Zhu Yuanzhen, Sun Runjia, Liu Yutian. Under extreme natural disasters, the tough reinforcement strategy of the power information physics system [j],Automation of power system, 2021, 45 (03): 40-48.

[10] Sun Runjia, Zhu Hainan, Liu Yutian. Reconstruction of the transmission grid based on the optimization and genetic algorithm based on the preferences [J], Journal of Shandong University (Engineering Edition), 2019, 49 (05): 17-23.

[11] Liu Yutian, Sun Runjia, Wang Hongtao, Gu Xueping. Application of artificial intelligence in the recovery of power system [J], Journal of Shandong University (Engineering Edition), 2019, 49 (05): 1-8.

Invention patent

[1] Yutian Liu, Runjia Sun. Method and System for Online DeCision Making of Generator Start-Up [P], 2018-9-29, The United States、EU

[2] Sun Runjia, Liu Yutian, Fan Rui. A self -adaptive load recovery method and system under extreme weather [P]. China: ZL 2021 11 580104.0, 2022-10-04.

[3] Liu Yutian, Sun Runjia, Fan Rui. Under the natural disaster, the grid emergency repair and recovery scheduling coordinated decision -making method and system [P]. China: ZL 2022 1 0000490.x, 2022-04-08.

[4] Liu Yutian， Sun Runjia. A unit restores online dynamic decision -making methods and systems [P]. China: ZL 2018 1 0271593.3, 20191018.

Scientific Research Reward

[1] Large -scale urban power grid security defense and intelligent recovery key technologies and applications in large cities in response to extreme weather，Shandong Electric Power Science and Technology Progress Award，5/12,2023

undertaking scientific research projects

[1] National Natural Science Foundation Youth Fund，Power system people who respond to post -disaster grid components are not well known in the circuit emergency recovery decision，2024-2026.

[2] National Natural Science Foundation of China Enterprise Innovation Development United Fund，The whole process of new power system restores the basic theory and method of control，2023-2026.

[3] Shandong Natural Science Foundation Youth Fund，Plan and the backbone grid toughness without knowing the power grid self -healing online decision -making technology，2022-2024.

Academic Type

Master's degree: academic, professional