Dr Behzad Kazemtabrizi, MIET MIEEE
(email at firstname.lastname@example.org)
I have obtained my PhD in Electronics and Electrical Engineering with an emphasis on Power Systems from Glasgow University in 2011. I was a Post Doctoral Research Associate (PDRA) in the School of Engineering and Computing Sciences at Durham University between February 2012 till September 2013. Since September 2013 I have joined the School of Engineering and Computing Sciences as the Lecturer (Assistant Professor) in Electrical Engineering.
My principal research interests are in advanced electrical power systems modelling, analysis, simulation and optimisation for improving performance and reliability of future flexible power systems.
I have in the past looked at problems that encompass reliability of large-scale offshore wind farms (e.g. UK round 3 developments) where I have focused on efficient and reliable grid integration of the wind farm to the grid. The research covers a wide variety of subjects, from developing tools for evaluating effects of large scale wind power in system adequacy (ability to meet demand), cost-benefit analysis of deploying alternative offshore connections, and integration of energy storage for maintaining performance standards within the whole power network.
I have lately been working on flexible power systems especially hybrid AC/DC networks with an outlook of planning and optimising the operation of such systems. In this context, I am interested at looking at operational aspects in which the controllability and reliability of the system is improved by employing flexible power flow control. This research area focuses on both large-scale integration of HVDC systems within existing AC transmission systems as well as integration of AC/DC networks in distribution networks.
I have used a variety of computational packages over the years including MATLAB based MATPOWER power systems simulation package, PSCAD/EMTDC for dynamic simulations in power systems, and general- purpose model-based language packages such as AIMMS for optimisation problems.
I am interested in hearing from prospective PhD students who may be intersted in pursuing a research career into advanced topics of power systems operation and reliability. I am also interested in students in relevant areas of mathematics and physics, particularly data sciences, and statistics who are looking for applied problems in future energy/power systems.
Department of Engineering
- Advanced Power Systems Modelling
- Power Electronics (FACTS/HVDC)
- Reliability Evaluation of Power Systems
- Optimal Power Flows
- Renewable Energy Integration (Wind Power)
- Power System Dynamics
- Acha, E., Roncero-Sánchez, P., de la Villa Jaén, A., Castro, L. M., & Kazemtabrizi, B. (2019). VSC-FACTS-HVDC: Modelling, Analysis and Simulation in Power Grids. Wiley.
Chapter in book
- Hogg, S. I., Kazemtabrizi, B. & Williams, R. (2017). Assessment of operation and maintenance strategies. In UK Wind Energy Technologies. Hogg, S. I. & Crabtree, C. J. Routledge. 259-282.
- Cervantes, C. J. F., Kazemtabrizi, B. & Troffaes, M. C. M. (2018), Contingency Ranking in Power Systems via Reliability Rates, 18th IEEE International Conference on Environment and Electrical Engineering. Palermo, Italy, IEEE.
- Bustos, A. A. & Kazemtabrizi, B. (2018), Flexible General Branch Model Unified Power Flow Algorithm for Future Flexible AC/DC Networks, 18th IEEE International Conference on Environment and Electrical Engineering. Palermo, Italy, IEEE.
- Meng, F., Kazemtabrizi, B., Zeng, X. J. & Dent, C. (2017), An Optimal Differential Pricing in Smart Grid Based on Customer Segmentation, ISGT Europe 2017. Torino, Italy, IEEE, Piscataway, 1-6.
- Ibrahim, A. A., Kazemtabrizi, B., Bordin, C., Dent, C., McTigue, J. & White, A. (2017), Pumped Thermal Electricity Storage for Active Distribution Network Applications, 2017 12th IEEE PES Powertech Conference. Manchester, England, IEEE, Piscataway.
- Chappa, H. K., Thakur, T. & Kazemtabrizi, B. (2016), A new voltage instability detection index based on real-time synchronophasor measurements, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). Florence, Italy, IEEE, 1-5.
- Shahbazi, M., Kazemtabrizi, B. & Dent, C. (2016), Coordinated Control of DC Voltage Magnitudes and State of Charges in a Cluster of DC Microgrids, IEEE PES Innovative Smart Grid Technologies. Ljubljana, Slovenia, IEEE.
- Ibrahim, A. A., Kazemtabrizi, B. & Dent, C. (2016), Operational Planning and Optimisation in Active Distribution Networks using Modern Intelligent Power Flow Controllers, IEEE PES Innovative Smart Grid Technologies. Ljubljana, Slovenia, IEEE.
- Kazemtabrizi, B. & Hogg, S. (2014), A New Simulation and Control Model for a Variable Speed Variable Pitch Direct Drive Large Offshore Wind Turbine Generator With Integrated Energy Storage, 3B: ASME Turbo Expo 2014. Dusseldorf, Germany, ASME, Düsseldorf, V03BT46A013.
- Kazemtabrizi, B., Crabtree, C.J. & Hogg, S.I. (2013), Reliability Evaluation of New Offshore Wind Farm Electrical Grid Connection Topologies, 8: ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. San Antonio, USA, ASME, New York, V008T44A008.
- Kazemtabrizi, B. & Acha, E. (2012), A comparison study between mathematical models of Static VAR Compensators aimed at optimal power flow solutions, 2012 16th IEEE Mediterranean Electrotechnical Conference. 1125 - 1128.
- Ahmad, T., Coupliac, O., Petit, A., Guignard, S., Girard, N., Kazemtabrizi, B. & Matthews, P. (2018). Field Implementation and Trial of Coordinated Control of Wind Farms. IEEE Transactions on Sustainable Energy 9(3): 1169-1176.
- Kazemtabrizi, B & Acha, E (2014). An Advanced STATCOM Model for Optimal Power Flows Using Newton's Method. IEEE Transactions on Power Systems 29(2): 514-525
- Acha, E. & Kazemtabrizi, B. (2013). A New STATCOM Model for Power Flows Using the Newton–Raphson Method. IEEE Transactions on Power Systems 28(3): 2455-2465.
- Mr Ahmad Ibrahim
- Miss Sarah Sheehy
- Mr Abraham Alvarez-bustos
- Mr Carlos Ferrandon-cervantes
- Miss Henna Bains
- Mr Marcos Eduardo Cruz Victorio
- Mr Huw Thomas
- 2017: Holistic Operation and Maintenance for Energy from Offshore Wind Farms (£311164.00 from )
- 2017: Novel Power System Planning Techniques To Support Decisions On Offshore Transmission Assets Taken Under Severe Uncertainties Supported By Probability Bounding Method (£43374.00 from Offshore Renewable Energy Catapult)