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

• CC2011: Digital Signal Processing (Level 2; CNS)
• CC4510: Digital System Design (Level 4; CNS)

Interests

Research

• renewable energy integration
• power electronics
• smart grid

Research Disciplines

• Electrical and Electronic Engineering (0906)
• Artificial Intelligence and Image Processing (0801)

Socio-Economic Objectives

• Renewable Energy (8505)
• Transport Equipment (8613)

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

• 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
• 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
• Du Y, Yan K, Ren Z and Xiao W (2018) Designing localized MPPT for PV systems using fuzzy-weighted extreme learning machine. Energies, 11 (10).
• Yan K, Wang X, Du Y, Jin N, Huang H and Zhou H (2018) Multi-step short-term power consumption forecasting with a hybrid deep learning strategy. Energies, 11.
• Li X, Wen H, Jiang L, Lim E, Du Y and Zhao C (2016) Photovoltaic modified β-parameter-based MPPT method with fast tracking. Journal of Power Electronics, 16 (1). pp. 9-17
• Li X, Wen H, Jiang L, Xiao W, Du Y and Zhao C (2016) An improved MPPT method for PV system with fast-converging speed and zero oscillation. IEEE Transactions on Industry Applications, 52 (6). pp. 5051-5064
• Hu Y, Du Y, Xiao W, Finney S and Cao W (2015) DC-link voltage control strategy for reducing capacitance and total harmonic distortion in single-phase grid-connected photovoltaic inverters. IET Power Electronics, 8 (8). pp. 1386-1393

Conference Papers

• Li X, Wen H, Du Y, Jiang L, Hu Y and Xiao W (2018) A novel power incremental GMPPT method based on modified voltage lines for photovoltaic system. Proceedings of the International Conference on Power Electronics, Drives and Energy Systems. In: PEDES 2018: IEEE International Conference on Power Electronics, Drives and Energy Systems, 18-21 December 2018, Chennai, India
• Zhang C, Du Y, Chen X and Lu D (2018) Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control. Proceedings of the IEEE International Conference on Industrial Electronics for Sustainable Energy Systems. In: IESES 2018: IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, 31 January - 2 February 2018, Hamilton, New Zealand
• Veerapen S, Wen H and Du Y (2017) Design of a novel MPPT algorithm based on the two-stage searching method for PV systems under partial shading. Proceedings of the IEEE 3rd International Future Energy Electronics Conference and ECCE Asia. In: IFEEC 2017 - ECCE Asia: IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, 3-7 June 2017, Kaohsiung, Taiwan
• Lu S, Xue F, Ting T and Du Y (2016) Speed trajectory optimisation for electric vehicles in eco-approach and departure using linear programming. Proceedings of the IET International Conference on Intelligent and Connected Vehicles. In: ICV 2016: IET International Conference on Intelligent and Connected Vehicles, 22-23 September, 2016, Chongqing, China

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.