Dr Xiandong Ma
Reader in Power and Energy SystemsResearch Interests
Dr Xiandong Ma received his BEng in Electrical Engineering from Jiangsu University in 1986 and MSc in Power Systems and Automation in Nanjing Automation Research Institute (NARI) (now China State Grid Electric Power Research Institute) in 1989. He completed his PhD research in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University in 2002.
He worked with NARI as Research Engineer and then Senior Research Engineer from 1989 to 1998, where he specialised in real-time power system modelling, simulation and instrumentation. He was a Visiting Research Engineer in RTDS Technologies Inc., Canada in 1994 and 1996, developing new exciter model and investigating interface techniques for new RTDS-based test facilities. He worked as Postdoctoral Research Associate from 2002 to 2007 firstly at Ãå±±ÂÖ¼é and then at The University of Manchester, developing new generations of electromagnetic sensors and electromagnetic tomographic imaging systems. Thereafter, he worked with the Asset Management Engineering Department at ALSTOM Power UK in Stafford as Generator Condition Monitoring Engineer to lead and deliver the eXpert projects on shaft line vibration and power plant parameter monitoring, before returning to Lancaster to take up his academic post in December 2008.
His current research interests have been focused on the intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets with emphasis on analytical and experimental investigations; condition-based operations and maintenance of power and energy systems; modeling, optimisation, and control of smart/micro grids with renewable energy resources; power conversion and renewable energy integration; and the associated machine learning and AI technologies and digital twin solutions. He has published >170 papers on leading refereed international journals, book chapters, international conferences and patents.
Dr Ma is a Chartered Engineer, a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Higher Education Academy (FHEA) and a Member of EPSRC Peer Review College. He held a KTP (Key Technology Partnership) Fellowship awarded by University of Technology Sydney, Australia, in 2018. He was Technical Program Chair for 2018 24th IEEE International Conference on Automation and Computing (ICAC’18, 6-7 September 2018, Newcastle University) and General Conference Chair for IEEE ICAC’19 (5-7 September 2019, Ãå±±ÂÖ¼é). He served the President of the Chinese Automation and Computing Society in the UK (CACSUK) for 2019-2021. He has recently been ranked in the world's top 2% scientists in terms of the citation impact of published work released by Stanford University ().
Web Links
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PhD Supervisions Completed
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, Fatemeh Nasr Esfahani, 2024, Supervisors: A. Darwish and X. Ma
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, Muhammad Waqas, 2024, Supervisors: X. Ma and G. A. Aggidis
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, Ahmed Negm, 2024, Supervisors: G.A. Aggidis and X. Ma
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Anomaly detection of multivariate time series in artificial intelligence for operations, Jun Zhan, 2023, supervisor: X. Ma
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, Saud Alotaibi, 2023, supervisors: A. Darwish and X. Ma
- , Yueqi Wu, 2022, supervisors: X. Ma and A.E.W. Rennie
- , Inam Ullah Khan, 2022, supervisors: X. Ma and C.J. Taylor
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, Beth King, 2022, supervisors: A.E.W. Rennie and X. Ma
- , Jie Ma, 2020, supervisors: X. Ma and S. Ilic
- , Peng Qian, 2017, supervisor: X. Ma
- , Yifei Wang, 2016, supervisors: X. Ma and M.J. Joyce
- State-dependent control of a hydraulically-actuated nuclear decommissioning robot, David Robertson, 2015, supervisors: C.J. Taylor and X. Ma
Current Research
Current PDRA supervisions
- Dr Yueqi Wu, Survivability, reliability and optimised control of devices in the marine environment, EPSRC funded project (EP/V040561/1), supervisors: X. Ma, C.J. Taylor and G.A. Aggidis
- Dr Manuel Bandala Sanchez, Sensor network conditioning, monitoring and response, EPSRC funded project (EP/V051059/1), supervisors: X. Ma, C.J. Taylor and M.J. Joyce
Current PhD supervisions
- Jamal Aldahmashi, Online energy management of microgrids using deep reinforcement learning, supervisors: X. Ma and A. Darwish
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Zhefeng Zhang, Autonomous condition monitoring of wind power systems through quantum machine learning, supervisors: X. Ma and J. Ye
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Asiri Tayri, The impact of electric vehicle charging on distribution grids and mitigation strategies, supervisors: X. Ma and D. Csala
- Ting Mao, Intelligent fault diagnosis of complex equipment in multidimensional application scenarios, supervisors: X. Ma and L. Cheng
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Moayad Albakri, Low voltage photovoltaic for microgrids, supervisors: X. Ma and A. Darwish
- Jainil Shah, Development of a swirl induction device for the high flow rate Typhon UV LED water treatment reactor, supervisors: G.A. Aggidis and X. Ma
- David Vandercruyssen, Optimisation of tidal range generation and energy storage, supervisors: G.A. Aggidis and X. Ma
- Joe Taylor, Submerged laser additive manufacturing, supervisors: A.E.W. Rennie and X. Ma
- Abdulkarim Athwer, Modular multilevel power converters for wind energy systems, supervisors: A. Darwish and X. Ma
- Yousef Alharbi, Analysis of smart photovoltaic (PV) module for effective use of solar energy,supervisors: A. Darwish and X. Ma
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Renqi Guo, Virtual Synchronous Machines to Support Renewable Energy System, Supervisors: N. Zhao and X. Ma
Additional Information
Leverhulme award for Engineering research into self-aware power networks
PhDs Examined
Recent PhD theses examined
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Optimal operation of multi-energy systems in integrated energy networks with distributed peer-to-peer energy transactive framework, University of Bradford, 2024
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Data-driven methods and their applications to renewable energy (solar PVs and electric vehicles), The University of Manchester, 2023
- Optimal operation and planning of battery-based energy storage system, University of Liverpool, 2023
- Advanced simulation and modelling to ensure techno-economic and environmental sustainability of new process development, Ulster University, 2023
- Deep learning non-intrusive load monitoring models using multi-gate mixture and transformer expert systems approaches, Glasgow Caledonian University, 2022
- Battery energy storage systems in hospitals for flexibility, resilience and arbitrage, Ulster University, 2022
- Research on helical gear dynamics with gear wear under multi-clearances, University of Huddersfield, 2022
- Performance modelling and decision analysis of decentralized energy systems and their impact assessment, The University of Manchester, 2021
- I-SEM, DS3 and GB/Fr interconnection electricity marketing modelling, Ulster University, 2020
- Real-time dual-modality non-destructive testing (NDT) using electromagnetic methods, The University of Manchester, 2020
- Stochastic approaches in developing business models and strategies for electric vehicle battery swapping, University of Sydney, 2019
- Demand side management fora smart home energy system, University of Strathclyde, 2019
- Design of hybrid photo-voltaic/thermal solar systems and performance analysis for residential building case studies, Newcastle University, 2019
- Motor current signature analysis towards mechanical seal failure detection for electrical submersible pump, University of Liverpool, 2019
- Nonlinear power system stabilizer based on uncertainties and disturbance estimator, University of Liverpool, 2019
- An investigation and optimisation of electrical power generation scenarios for a sustainable Malaysia, Newcastle University, 2019
- Electromagnetic sensing techniques for multi-phase flow monitoring in industrial process, The University of Manchester, 2018
- Compound fault diagnosis of centrifugal pumps using vibration analysis techniques, University of Huddersfield, 2017
- Investigation on smart bi-directional inverter with quantitative reactive power compensation and interleaved DC/DC converter for microgrid system, University of Cumbria, 2017
- Investigation of controller embedded condition monitoring of a doubly fed induction generator, The University of Manchester, 2017
01/02/2024 → 30/06/2027
Research
31/03/2023 → 30/03/2026
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01/08/2022 → 31/12/2024
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06/09/2021 → 05/05/2025
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01/08/2021 → 30/09/2024
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01/07/2018 → 31/12/2019
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31/03/2018 → 31/12/2021
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01/07/2017 → 30/09/2018
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01/01/2017 → 22/10/2020
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01/01/2015 → 31/12/2017
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01/07/2014 → 30/06/2015
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16/01/2012 → 15/05/2013
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01/10/2010 → 30/09/2014
Research
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- DSI - Foundations
- Energy
- Energy Lancaster
- Renewables
- TALOS