Dr Richard Yan

ARC DECRA

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
ruifeng@itee.uq.edu.au
+61 7 336 53394

Overview

Dr Ruifeng Yan received the B. Eng. (Hons.) degree in Automation from University of Science and Technology, Beijing, China, in 2004, the M. Eng degree in Electrical Engineering from the Australian National University, Canberra, Australia, in 2007 and PhD in Power and Energy Systems from the University of Queensland , Australia, in 2012. He has been a research fellow with the School of Information Technology and Electrical Engineering, University of Queensland since graduation. His expertise includes renewable energy integration to power systems, distribution system voltage imbalance and compensation, and power system stability and analysis. He has supervised 7 undergraduate thesis students, and he is currently co-supervising 2 PhD students and 2 undergraduate thesis students. He is also teaching fourth year courses - Advanced Electronic and Power Electronics Design, and Renewable Energy Integration: Technologies to Technical Challenges.

2014: ResTeach Award

2013: New Staff Research Start-up Grant; His student Alasdair Cameron won “Best Data Driven & Analytics Project 2013 (Deloitte Prize) for his thesis

2012: UQ Dean’s Award for Research Higher Degree Excellence

2011: IEEE Power & Energy Society (PES) Queensland Chapter Student Conference Travel Prize; His student Christopher Tjah Tjin Ho won Electrical Branch Medal from Engineers Australia and Energex prize for his undergraduate thesis research

2010: His student Matthew Zillmann won Electrical Branch Medal from Engineers Australia and Energex prize for his undergraduate thesis research

2009: Australian Postgraduate Award

2007: The Australian National University, College of Engineering and Computer Science Postgraduate Scholarship

Research Impacts

The recent study concentrates on the influences of increasing photovoltaic (PV) integration to the existing power networks – mainly on cloud transient and low-voltage distribution systems. Globally greenhouse gas emission is a serious concern for the power generation industry. To address this issue, customers are currently installing a large number of PV panels in electricity distribution networks. This will have a positive impact on the environment; however, PV systems as distributed and variable generators can create serious network issues. They include excessive voltage fluctuations and imbalance, which are less frequently encountered in traditional networks. The research investigates the impacts of cloud transient on distribution networks with a high PV penetration level and proposes new methodologies for network analyses and potential solutions to voltage problems (e.g. coordination of STATCOM, storage and inverter control).This research is conducted by utilizing statistical approach (Monte Carlo and time series) and real world data. I am also actively involved in Collinsville Solar Thermal Project and UQ Gatton AGL Solar Flagship Project.

The other research investigates the effects of rapidly growing wind turbine generators (WTG) on power system frequency response at a transmission level. This is an important issue concerned by many power utilities recently. This project is funded by the ARC linkage project for the next 1 year and a half. Popular new Wind Turbine Generators (WTG) of Type 3 and Type 4, which accounts for a great amount of the total new renewable energy development over the past 5 years in Australia – do not provide either inertia or governor-like response for network frequency support. Consequently, the existence of such non-synchronous generators displaces conventional synchronous machines, which traditionally provide both inertia and governor response. As a result, with more non-synchronous generators integrated into the NEM, the whole network frequency response may eventually drop to a critical level, at which the frequency standard cannot be maintained. Currently, the existing regulation methods based on a high inertia system background are empirical and lack of theoretical foundation, and moreover there is no guarantee it can continuously be reliable in a future high renewable-penetration era. This research is aiming to establish a mathematical method for frequency response evaluation.

Qualifications

  • Doctor of Philosophy, The University of Queensland
  • Bachelor of Engineering, Beijing Institute of Technology
  • Master of Engineering, Australian National University

Publications

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Grants

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Supervision

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Publications

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Journal Article

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Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Completed Supervision