Dr M. Azizian Fard
Lecturer
Summary
Dr M. Azizian Fard is a lecturer in Electrical Engineering at Sheffield Hallam University since 2019. He received his PhD from Glasgow Caledonian University on a research into condition monitoring of HVDC power cables. He has experience on power system modelling, condition monitoring, and power electronic applications.
About
Dr Fard obtained his BSc in Electrical and Electronic Engineering from Shiraz University, Iran, in 2006, and he received his MSc in Power Systems and High Voltage Engineering from K.N. Toosi University of Technology, Iran, in 2010. He worked as a technical engineer for companies in the field of oil and gas and electrical protection equipment manufacturing, and as a research engineer at Iran's grid research institute (Niroo Research Institute) before pursuing his PhD at Glasgow Caledonian University. After being awarded his PhD in 2018, He joined the Aberdeen HVDC research center, University of Aberdeen, as a research fellow working on HVDC circuit breakers; afterwards he joined Sheffield Hallam University as a lecturer in January 2019. He is a member of IEEE and IET.
Lecturer
Specialist areas of interest
- Power System Modelling
- Condition Monitoring
- Power Electronic Applications
Publications
Journal articles
Azizian Fard, M., Farrag, M.E., Reid, A., & Al-Naemi, F. (2019). Electrical Treeing in Power Cable Insulation under Harmonics Superimposed on Unfiltered HVDC Voltages. Energies, 12 (16), 3113. http://doi.org/10.3390/en12163113
Fard, M., Farrag, M., McMeekin, S., & Reid, A. (2018). Electrical treeing in cable insulation under different HVDC operational conditions. Energies, 11 (9), 2406. http://doi.org/10.3390/en11092406
Fard, M.A., Farrag, M.E., McMeekin, S.G., & Reid, A.J. (2017). Partial discharge behavior under operational and anomalous conditions in HVDC systems. IEEE Transactions on Dielectrics and Electrical Insulation, 24 (3), 1494-1502. http://doi.org/10.1109/tdei.2017.006469
Fard, M.A., Reid, A.J., & Hepburn, D.M. (2017). Analysis of HVDC superimposed harmonic voltage effects on partial discharge behavior in solid dielectric media. IEEE Transactions on Dielectrics and Electrical Insulation, 24 (1), 7-16. http://doi.org/10.1109/tdei.2016.005934
Karimzadeh, F., Akbari, A., Ardebili, M., & Azizian Fard, M. (2015). Calculation of short circuit electromagnetic forces in Dryformer using finite element method. International Transactions on Electrical Energy Systems, 25 (3), 433-453. http://doi.org/10.1002/etep.1852
Naderi, P., Alizadeh Pahlavani, M.R., & Azizian Fard, M. (2014). A novel controlling method for the superconducting magnetic energy storage system as a distributed generation source; full modelling, design and simulation. International Journal of Sustainable Energy, 33 (4), 766-782. http://doi.org/10.1080/14786451.2013.765428
Azizian Fard, M., Akbari, A., Shojaee, R., & Rasuli, M.A. (2010). Synchronous distributed partial discharge measurement system. International Review of Electrical Engineering, 5 (5), 2478-2483.
Conference papers
Fard, M.A., Reid, A.J., Hepburn, D.M., & Farrag, M.E. (2016). Partial discharge behavior under HVDC superimposed with transients. 2016 51st International Universities Power Engineering Conference (UPEC). http://doi.org/10.1109/upec.2016.8114059
Fard, M.A., Reid, A.J., & Hepburn, D.M. (2016). Influence of HVDC converter operation on partial discharge characteristics. 2016 IEEE International Power Modulator and High Voltage Conference (IPMHVC). http://doi.org/10.1109/ipmhvc.2016.8012893
Fard, M.A., Reid, A.J., Hepburn, D.M., & Gallagher, H. (2016). Influence of voltage harmonic phenomena on partial discharge behavior at HVDC. 2016 IEEE International Conference on Dielectrics (ICD). http://doi.org/10.1109/icd.2016.7547663
Fard, M.A., Reid, A.J., & Hepburn, D.M. (2016). Finite element model of HVDC converter harmonic effects on partial discharge. 2016 IEEE International Conference on Dielectrics (ICD). http://doi.org/10.1109/icd.2016.7547716
Fard, M.A., Akbari, A., Shojaee, R., Mirzaei, H.R., & Naderi, P. (2010). Partial discharge defects classification using neuro-fuzzy inference system. 2010 10th IEEE International Conference on Solid Dielectrics. http://doi.org/10.1109/icsd.2010.5568128