Research Interests

Educational and Working Experience

1. Oct. 2024 – Present: Lecturer, Department of Electronic Engineering, Shantou University

2. Sep. 2020 – Sep. 2024: Ph.D. in Electronic Information, South China University of Technology

3. Sep. 2017 – Jun. 2020: Master of Engineering in Electrical Engineering, South China University of Technology

4. Sep. 2011 – Jun. 2015: Bachelor of Engineering in Electrical Engineering and Automation, South China University of Technology

Academic Publications

1. J. Chen, T. Yu, Z. Pan*, et al. Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning. IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3303–3315, May 2024. (CAS Zone 1 TOP, JCR Q1)

2. J. Chen, T. Yu, Z. Pan*, M. Zhang, B. Deng. A scalable graph reinforcement learning algorithm based stochastic dynamic dispatch of power system under high penetration of renewable energy. International Journal of Electrical Power and Energy Systems, vol. 152, 109212, Oct. 2023. (CAS Zone 2 TOP, JCR Q1)

3. J. Chen, T. Yu*, L. Yin, et al. A Unified Time Scale Intelligent Control Algorithm for Microgrid Based on Extreme Dynamic Programming. CSEE Journal of Power and Energy Systems, vol. 6, no. 3, pp. 583–590, Sep. 2020. (CAS Zone 2, JCR Q1)

4. Z. Pan, T. Yu*, J. Li, Y. Wu, J. Chen, et al. Multi-Agent Learning-Based Nearly Non-Iterative Stochastic Dynamic Transactive Energy Control of Networked Microgrids. IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 688–701, Jan. 2022. (CAS Zone 1 TOP, JCR Q1)

5. Z. Pan, T. Yu*, W. Huang, Y. Wu, J. Chen, et al. Real-time dispatch of integrated electricity and thermal system incorporating storages via a stochastic dynamic programming with imitation learning. International Journal of Electrical Power and Energy Systems, vol. 153, 109286, Nov. 2023. (CAS Zone 2 TOP, JCR Q1)

6. Chen J, Yu T*, Yin L, et al. Integrated microgrid dispatch and control based on extreme dynamic programming algorithm. Control Theory & Applications, 2019, 36(10): 1698–1706. (EI)

7. Chen J, Yu T, Pan ZN*. Graph reinforcement learning method for real-time optimal dispatch of active distribution networks. Control Theory & Applications, 2024, 41(06): 999–1008. (EI)

8. Deng BR, Chen JB*, Ding QY, et al. Multi-task deep reinforcement learning optimal dispatch integrated with power grid operation scenario clustering. Power System Technology, 2023, 47(03): 978–990. (EI)

9. Wang ZY, Chen JB, Lin D, et al. Medium-voltage distribution network double-Q planning model based on elite ant colony Q algorithm. Electric Power Automation Equipment, 2020, 40(11): 32–42. (EI)

Granted Patents

1. Chen Junbin, Yu Tao. Distribution Transformer Area Load Forecasting Method, System, Apparatus and Medium. Patent No.: CN202110752204.0, Granted Jun. 14, 2022.

2. Chen Junbin, Deng Borong, Yu Tao. Auxiliary Decision-Making Method, System, Apparatus and Storage Medium for Power System Dispatching. Patent No.: CN202111044795.2, Granted Dec. 16, 2022.

3. Chen Junbin, Pan Zhenning, Yu Tao, et al. Power System Economic Dispatch Decision Method, System, Apparatus and Medium. Patent No.: CN202111535326.0, Granted Jul. 19, 2024.

4. Deng Borong, Chen Junbin, Yu Tao, et al. Power System Operation and Dispatching Method, System and Apparatus. Patent No.: CN202111354260.5, Granted Jul. 19, 2024.

Research Projects

1. Key Joint Fund Project of National Natural Science Foundation of China and State Grid Corporation of China: Theory and Method of Hybrid-Augmented Intelligent Knowledge Evolution for Power Grid Dispatching, 2021–2024, Participant.

2. General Project of National Natural Science Foundation of China: Smart Energy Dispatching Robot Based on Parallel CPSS Architecture and Its Knowledge Automation Theory, 2018–2021, Participant.