Dr Yang Du ~ Lecturer, Electronic Systems and IoT Engineering

Dr. Yang Du received his Ph.D. degree in electrical engineering from The University of Sydney, Australia, in 2013. From 2013 to 2014, he was with Masdar Institute of Science and Technology, Abu Dhabi, UAE, as a post-doctoral research fellow. From 2014 to 2018, he was a lecturer at Xi’an Jiaotong-Liverpool University, Suzhou, China, where he maintains an honorary position. He joined James Cook University, Cairns, Australia in 2019. He was a visiting scientist at Massachusetts Institute of Technology in 2018.

Teaching

• CC2510: Digital Logic and Computing Methods (Level 2; CNS)
• CC4510: Digital System Design (Level 4; CNS)
• EE2201: Circuit Theory (Level 2; CNS)
• EE3010: Digital Signal Processing (Level 3; CNS)
• EE3400: Power Engineering 1 (Level 3; CNS)
• EG5311: Research Project 1 (Level 5; CNS & TSV)
• EG5312: Research Project 2 (Level 5; CNS & TSV)

Interests

Research

• renewable energy integration
• power electronics
• smart grid

Experience

• 2019 to present - Lecturer, James Cook University (Cairns, Australia)
• 2018 - Visiting Scientist, Massachusetts Institute of Technology (Boston, USA)
• 2014 to 2018 - Assistance Professor, Xi'an Jiaotong-Liverpool University (Suzhou, China)
• 2013 to 2014 - Post-doctoral Researcher, Masdar Institute of Science and Technology (Abu Dhabi, UAE)

Research Disciplines

• Electrical engineering (4008)

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Li X, Wen H, Hu Y, Du Y and Yang Y (in press) A comparative study on photovoltaic MPPT algorithms under EN50530 dynamic test procedure. IEEE Transactions on Power Electronics, , DOI:10.1109/TPEL.2020.3024211.
• Bu Q, Wen H, Wen J, Hu Y and Du Y (2020) Transient dc bias elimination of dual-active-bridge dc-dc converter with improved triple-phase-shift control. IEEE Transactions on Industrial Electronics, 67 (10), pp. 8587-8598, DOI:10.1109/TIE.2019.2947809.
• Chen X, Du Y, Lim E, Wen H, Yan K and Kirtley J (2020) Power ramp-rates of utility-scale PV systems under passing clouds: module-level emulation with cloud shadow modeling. Applied Energy, 268, Article: 114980, DOI:10.1016/j.apenergy.2020.114980.
• Lin D, Li X, Ding S and Du Y (2020) Strategy comparison of power ramp rate control for photovoltaic systems. CPSS Transactions on Power Electronics and Applications, 5 (4), Article: 20284541, pp. 329-341, DOI:10.24295/CPSSTPEA.2020.00027.
• Wen H, Du Y, Chen X, Lim e, Wen H, Jiang L and Xiang W (in press) Deep learning-based multi-step solar forecasting for PV ramp-rate control using sky images. IEEE Transactions on Industrial Informatics, , DOI:10.1109/TII.2020.2987916.
• Chen X, Du Y, Lim E, Wen H and Jiang L (2019) Sensor network based PV power nowcasting with spatio-temporal preselection for grid-friendly control. Applied Energy, 255, Article: 113760, DOI:10.1016/j.apenergy.2019.113760.
• Chen X, Yang D, Wen H, Jiang L and Weidong X (2019) Forecasting-based power ramp-rate control strategies for utility-scale PV systems. IEEE Transactions on Industrial Electronics, 66 (3), pp. 1862-1871, DOI:10.1109/TIE.2018.2840490.
• Veerapen S, Wen H, Li X, Du Y, Yang Y, Wang Y and Xiao W (2019) A novel global maximum power point tracking algorithm for photovoltaic system with variable perturbation frequency and zero oscillation. Solar Energy, 181, pp. 345-356, DOI:10.1016/j.solener.2019.01.082.
• Yan K, Li W, Ji Z, Qi M and Du Y (2019) A hybrid LSTM neural network for energy consumption forecasting of individual households. IEEE Access, 7, pp. 157633-157642, DOI:10.1109/ACCESS.2019.2949065.
• Yan K, Du Y and Ren Z (2019) MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification. IEEE Transactions on Sustainable Energy, 10 (2), pp. 514-521, DOI:10.1109/TSTE.2018.2834415.

Conference Papers

• Bow W, Du Y and Louis A (2019) Modeling and evaluation of real-time energy management systems for microgrids. Proceedings of the 29th Australasian Universities Power Engineering Conference. In: AUPEC 2019: 29th Australasian Universities Power Engineering Conference, 26-29 May 2019, Nadi, Fiji
• Zhang B, Du Y, Lim E, Jiang L and Yan K (2019) Design and simulation of Peer-to-Peer energy trading framework with dynamic electricity price. Proceedings of the 29th Australasian Universities Power Engineering Conference. In: AUPEC 2019: 29th Australasian Universities Power Engineering Conference, 26-29 May 2019, Nadi, Fiji

More

ResearchOnline@JCU stores 29+ research outputs authored by Dr Yang Du from 2014 onwards.

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.