Power System Research Institute

Academic identity

IEEE PES Jinan Branch Treasurer

Secretary of IEEE PES (China) Power System Dynamics Technical Committee AC/DC Hybrid Power Grid Security and Stability Analysis Subcommittee

Work experience

2023.7-Now, School of Electrical Engineering, Shandong University, associate researcher

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

2015.9–2020.6, Electrical Engineering, Shandong University, PhD in Engineering

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

Personal information

Name Sun Runjia

Gender Male

Date of birth 1993.02

Place of Origin Yantai, Shandong

Professional title Associate Researcher

Position None

Tel 13256128382

Email sunrunjia@sdu.edu.cn

Research direction

Power system recovery control

Power Grid Resilience

Power system security defense

Academic works

Journal Article

[1] Runjia Sun, Yutian Liu. Hybrid reinforcement learning for power transmission network self-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 reconfiguration approach for power system restoration based on preference-based multiobjective optimization[J], Applied Soft Computing, 2019, 83: 105656.

[4] Sun Runjia, Liu Yutian. Online decision-making for unit recovery based on deep learning and Monte Carlo tree search[J], Power system automation, 2018, 42(14): 40-47

[5] Rizwan ul Hassan, Runjia Sun, Yutian Liu. Online static security assessment for cascading failure using 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 restoration considering flexible control of air conditioners for resilience enhancement[J]. International Journal of Electrical Power & Energy Systems, 2023, 148: 108959 .

[7] Rui Fan, Runjia Sun, Yutian Liu, el. al. An online decision-making method based on multi-agent interaction for coordinated load restoration[J]. Frontiers in Energy Research, 2022, 10: 992996.

[8] Fan Rui, Sun Runjia, Liu Yutian. Load recovery reduction method considering air conditioning load demand response[J]. Journal of Electrical Engineering, 2022, 37(11): 2869-2877.

[9] Liu Tianhao, Zhu Yuanzhen, Sun Runjia, Liu Yutian. Strategies for enhancing the resilience of power cyber-physical systems under extreme natural disasters[J],Power system automation, 2021, 45(03): 40-48.

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

[11]Liu Yutian, Sun Runjia, Wang Hongtao, Gu Xueping. A review of the application of artificial intelligence in power system restoration[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, United States、EU

[2] Sun Runjia, Liu Yutian, Fan Rui. A power grid 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. Collaborative decision-making method and system for power grid emergency repair and restoration dispatching under natural disasters[P]. China: ZL 2022 1 0000490.X, 2022-04-08.

[4] Liu Yutian， Sun Runjia. A dynamic decision-making method and system for unit restoration online [P]. China: ZL 2018 1 0271593.3, 20191018.

Scientific Research Award

[1] Key technologies and applications for security defense and intelligent recovery of large urban power grids in response to extreme weather，Shandong Electric Power Science and Technology Progress Award，5/12,2023

Undertake scientific research projects

[1] National Natural Science Foundation of China Youth Fund，Decisions on emergency recovery of power systems with unknown power grid component status after disasters，2024-2026.

[2] National Natural Science Foundation of China Joint Fund for Enterprise Innovation and Development，Basic theory and method of whole-process recovery control of new power system，2023-2026.

[3] Shandong Provincial Natural Science Foundation Youth Fund，Unknown power grid self-healing online decision-making technology taking into account the resilience of the backbone grid，2022-2024.

Academic Type

Master’s degree students: academic, professional