Biography
Dr. Liang Du is an Assistant Professor in the Department of Electrical Engineering at Temple University. Prior to joining Temple, Dr. Du worked as an Electrical Engineer with Schlumberger Sugar Land, TX after receiving his Ph.D. in Electric Energy from Georgia Institute of Technology, Atlanta, GA, in 2013. His other industry experience includes summer research internships with Eaton Corporation Innovation Center in Milwaukee, WI, Mitsubishi Electric Research Laboratories in Cambridge, MA, and Philips Research North America in Briarcliff Manor, NY, in 2011, 2012, and 2013, respectively.
Personal link: gliangdu.github.io
Research Interests
- Electric Power Grid Modernization
- Energy Systems Integration
- De-Centralized and Autonomous Power Architectures
- Data-Driven Analytics
- Renewable Integration
Courses Taught
Number | Name | Level |
|---|---|---|
ECE 4712 | Power System Analysis | Undergraduate |
ECE 4722 | Power Electronics | Undergraduate |
ECE 5442 | Engineering Optimization: Methods and Applications | Graduate |
ECE 5712 | Power Systems Engineering | Graduate |
ECE 5722 | Power Electronic Devices and Systems | Graduate |
ECE 8712 | Power Systems Operation and Control | Graduate |
Selected Publications
Recent
Ma, S., Li, Y., Du, L., Wu, J., Zhou, Y., Zhang, Y., & Xu, T. (2022). Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids. Applied Energy, 306. doi: 10.1016/j.apenergy.2021.118056.
Sun, D., Lu, X., Du, L., & Lu, F. (2021). An effective fault management scheme and comprehensive double line-frequency ripple propagation analysis for MVDC networks. IET Generation, Transmission and Distribution, 15(22), 3151-3163. doi: 10.1049/gtd2.12246.
Wang, S., Du, L., Fan, X., & Huang, Q. (2021). Deep reinforcement scheduling of energy storage systems for real-time voltage regulation in unbalanced LV Networks with high PV penetration. IEEE Transactions on Sustainable Energy, 12(4), 2342-2352. doi: 10.1109/TSTE.2021.3092961.
Ye, J., Guo, L., Yang, B., Li, F., Du, L., Guan, L., & Song, W. (2021). Cyber-Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(4), 4639-4657. doi: 10.1109/JESTPE.2020.3045667.
Guo, L., Ye, J., & Du, L. (2021). Cyber-Physical Security of Energy-Efficient Powertrain System in Hybrid Electric Vehicles against Sophisticated Cyberattacks. IEEE Transactions on Transportation Electrification, 7(2), 636-648. doi: 10.1109/TTE.2020.3022713.
Guo, L., Yang, B., Ye, J., Chen, H., Li, F., Song, W., Du, L., & Guan, L. (2021). Systematic Assessment of Cyber-Physical Security of Energy Management System for Connected and Automated Electric Vehicles. IEEE Transactions on Industrial Informatics, 17(5), 3335-3347. doi: 10.1109/TII.2020.3011821.
Wang, S., Du, L., Li, Y., & Fan, R. (2021). Stochastically Stable Synchronous Learning for EV Aggregators Considering Their Collective Age of Information. IEEE Transactions on Transportation Electrification. doi: 10.1109/TTE.2021.3095262.
Zhi, N., Ming, X., Ding, Y., Du, L., & Zhang, H. (2021). Power-Loop-Free Virtual DC Machine Control with Differential Compensation. IEEE Transactions on Industry Applications. doi: 10.1109/TIA.2021.3119512.
Wang, S., Du, L., Ye, J., & Zhao, D. (2020). A Deep Generative Model for Non-Intrusive Identification of EV Charging Profiles. IEEE Transactions on Smart Grid, 11(6), 4916-4927. doi: 10.1109/TSG.2020.2998080.
Zhi, N., DIng, K., Du, L., & Zhang, H. (2020). An SOC-Based Virtual DC Machine Control for Distributed Storage Systems in DC Microgrids. IEEE Transactions on Energy Conversion, 35(3), 1411-1420. doi: 10.1109/TEC.2020.2975033.
Wang, S., Du, L., Ye, J., & He, L. (2020). Noncooperative Social Welfare Optimization with Resiliency against Network Anomaly. IEEE Transactions on Industrial Informatics, 16(4), 2403-2412. doi: 10.1109/TII.2019.2936830.
Rong, S., He, L., Du, L., Li, Z., & Yu, S. (2020). Intelligent Detection of Vegetation Encroachment of Power Lines with Advanced Stereovision. IEEE Transactions on Power Delivery. doi: 10.1109/TPWRD.2020.3043433.