Chen Lijuan

来源:tyc86太阳集团发布时间:2026-04-01浏览次数:13

Lijuan Chen

Title: Associate Professor

Research directions: Energy Storage, Electric Vehicles, New Energy and Energy Storage Operation & Control

Email: lijuanchen@seu.edu.cn

Biography

Lijuan Chen received her B.S., M.S., and Ph.D. degrees in Electrical Engineering from Southeast University in 2003, 2005, and 2007, respectively. From 2008 to 2009, she was a Postdoctoral Researcher at the Joint Postdoctoral Workstation of Southeast University and Jiangsu Electric Power Company. Since early 2010, she has been a faculty member at the School of Electrical Engineering, Southeast University, where she is currently an Associate Professor.

Her research interests include energy storage, electric vehicles, and the integration of intermittent renewable energy. She has presided over or participated in several national and provincial research projects, including sub-projects of the National High-Tech Research and Development Program (863 Program), National Natural Science Foundation of China projects, and State Grid Corporation of China projects.

Publications:       

Monographs:

  1. Introduction to Smart Grid (China Electric Power Press, 2011)

  2. Smart Power Utilization Technology (China Electric Power Press, 2012)

  3. Electric Vehicle and Charging/Battery Swapping Technology (China Electric Power Press, 2012)

Selected Journal Papers:

  1. G. Jin, L. Chen, Y. Liu, and X. Xu, "A two-stage zoned low-carbon dispatching strategy for the distribution system that takes into account the aggregation of multiple resources in the distribution station area,"IET Renewable Power Generation, vol. 1, no. 0, 2026, doi: 10.1049/rpg2.70204.

  2. L. Wang, L. Chen, X. Xu, and C. Wang, "Active-reactive power coordinated control of distribution network considering clustering aggregation of electric vehicles," Automation of Electric Power Systems, 2026, pp. 1–16. ISSN: 1000-1026.

  3. C. Ma, L. Chen, and Z. Wu, "Distribution Network Resilience Enhancement Strategy Considering Coordination of Multiple Flexible Resources,"Electric Power Engineering Technology, vol. 44, no. 1, pp. 134–144, 2025.

  4. G. Jin, L. Chen, H. Lu, et al., "Hierarchical Autonomous Coordinated Scheduling Strategy for Distribution Networks Based on Alternating Direction Penalty Method,"Electric Power Engineering Technology, vol. 44, no. 2, pp. 134–144, 2025.

  5. L. Chen, X. Feng, C. Wang, and C. Zhou, "A collaborative control strategy for MV-LV distribution networks considering multi-level access of flexible resources,"Electric Power Systems Research, 2023, doi: 10.1016/j.epsr.2023.109412.

  6. L. Chen, W. Yang, Z. Deng, X. Xu, and C. Zhou, "A multi-period scheduling strategy for ADN considering the reactive power adjustment ability of DES,"International Journal of Electrical Power & Energy Systems, vol. 121, p. 106095, 2021, doi: 10.1016/j.ijepes.2020.106553.

  7. L. Chen, L. Liu, C. Zhou, and X. Xu, "Identification of Weak Links in Integrated Energy System Considering Operational Risk and Resilience," Automation of Electric Power Systems, vol. 45, no. 24, pp. 1–8, 2021.

  8. L. Chen, M. Qin, S. Gu, K. Qian, and X. Xu, "Optimal Dispatching Strategy for Electric Buses Participating in V2G Considering Battery Degradation," Automation of Electric Power Systems, vol. 44, no. 12, pp. 1–8, 2020.

  9. L. Chen, T. Wu, H. Liu, G. Huang, and X. Xu, "Two-Stage Optimization Model for Large User Energy Storage Based on Demand Management," Automation of Electric Power Systems, vol. 43, no. 10, pp. 1–8, 2019.

  10. L. Chen, L. Liu, Y. Peng, W. Chen, H. Huang, T. Wu, and X. Xu, "Distribution network operational risk assessment and early warning considering multi-risk factors,"IET Generation, Transmission & Distribution, vol. 14, no. 16, pp. 3139–3149, 2020, doi: 10.1049/iet-gtd.2019.1198.

  11. L. Chen, M. Qin, Y. Xia, K. Qian, and X. Xu, "A Configuration-Control Integrated Strategy for Electric Bus Charging Station With Echelon Battery System,"IEEE Transactions on Industry Applications, vol. 56, no. 5, pp. 6019–6028, 2020, doi: 10.1109/TIA.2020.2994185.

  12. W. Yang, L. Chen, Z. Deng, X. Xu, and C. Zhou, "A multi-period scheduling strategy for ADN considering the reactive power adjustment ability of DES,"International Journal of Electrical Power & Energy Systems, vol. 121, p. 106095, 2020, doi: 10.1016/j.ijepes.2020.106095.

  13. L. Chen, Z. Deng, and X. Xu, "Two-Stage Dynamic Reactive Power Dispatch Strategy in Distribution Network Considering the Reactive Power Regulation of Distributed Generations,"IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1021–1032, 2019, doi: 10.1109/TPWRS.2018.2875032.

  14. L. Chen, X. Zhu, J. Cai, X. Xu, and H. Liu, "Multi-time scale coordinated optimal dispatch of microgrid cluster based on MAS,"Electric Power Systems Research, 2019, doi: 10.1016/j.epsr.2019.105976.


Recent Research

  1. Research on Method of Transmission Line Damage Location and Type Recognition Based on Elastic Wave, Funding Source: National Natural Science Foundation of China

  2. Research on Key Technologies for Optimal Dispatching of Smart Distribution Grid, Funding Source: National High-Tech Research and Development Program of China (863 Program)

  3. NF202502660-Smart Energy-Research Contract on Load Forecasting Model and Algorithm Optimization, Funding Source: Nanrui Group Co., Ltd. (NARI Technology Co., Ltd.), Year: 2025

  4. 2025-2026 Technical Research Service on Supply-Demand Balance of Provincial Power System and Resource Allocation for Power Supply Guarantee Based on Electricity-Carbon Coupling (State Grid Jiangsu Electric Power Research Institute), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2025

  5. Research and Application of Refined Regulation Technology for Distributed Photovoltaics in Provincial Power Grid to Improve Accommodation Capacity, Funding Source: State Grid Henan Electric Power Company, Year: 2025

  6. Development Services for Related Functions of New Energy Power System, Funding Source: State Grid Jiangsu Electric Power Company, Year: 2025

  7. Research on Intelligent Analysis and Identification Technology for Energy Consumption Anomalies of High-Voltage Metering Users Under Multi-Source Fusion, Funding Source: State Grid Jiangsu Electric Power Company, Year: 2024

  8. Research Service on Electric Vehicle Multi-Scenario Group Charging and Group Control Strategy (State Grid Jiangsu Electric Power Research Institute), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2023

  9. Consulting Service on Vehicle-Grid Coordination Planning and Interaction Mechanism in Suzhou Area (Marketing Department, State Grid Suzhou Power Supply Company), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2023

  10. Research on Hierarchical and Zonal Autonomous Control Strategy for New Energy Distribution Network Oriented to Main-Distribution Coordination (State Grid Zhenjiang), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2023

  11. Research Service on Energy Storage Application Scenarios and Business Models Under High Penetration of Distributed Photovoltaics (State Grid Suzhou Power Supply Company), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2022

  12. Research Service on Application Technologies and Management Modes of Distributed Photovoltaics Based on Observability and Measurability (State Grid Suzhou Power Supply Company), Funding Source: State Grid Jiangsu Electric Power Company, Year: 2022

  13. Research, Development and Application Service of Optimal Dispatching Control System for Incremental Distribution Network (Cluster) Access to Power Grid, Funding Source: State Grid Jiangsu Electric Power Company, Year: 2022

  14. Research Service on Dispatching Operation Control and Management Modes for Aggregator Access of Multiple Types of Distributed Power Sources, Funding Source: State Grid Jiangsu Electric Power Company, Year: 2022

  15. Research on Morphological Characteristics and Simulation Verification of Urban Regional Autonomous Power Grid, Funding Source: China Electric Power Research Institute, Year: 2021


Teaching

 Graduate Course: New Energy and Energy Storage Operation and Control

Undergraduate Course: Electrical and Electronic Technology


Graduates

Currently supervising 3 master’s students;

15 master’s students have graduated under my supervision.