Staff profile

Dr Mahmoud Shahbazi is an Associate Professor in Electrical Engineering at the Department of Engineering, Durham University. He received his PhD in Electrical Engineering from Université de Lorraine, Nancy, France, in 2012. Prior to joining Durham University in 2015 as a postdoctoral researcher, he held positions as a lecturer at Azad University and as a postdoctoral researcher at Sharif University of Technology in Iran. He became an Assistant Professor at Durham in 2017 and was promoted to Associate Professor in 2022.

Dr Shahbazi's research interests focus on modern energy systems reliability and resilience, fault-tolerant control, renewable energy integration, and power system modelling and optimization. He has published over 50 research papers and has served as Principal Investigator (PI) or Co-Investigator (Co-I) on projects totalling more than £14 million in combined funding. Notable examples include the EPSRC Reliability-Oriented Assessment and Design Towards Energy system integration with offshore Renewables (ROADsTER) [EP/W034484/1, £230k], Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD) [EP/Y005376/1, £1.84M], EPSRC and NERC Centre for Doctoral Training in Offshore Wind Energy and the Environment [EP/S023763/1, £6M] and EPSRC Centre for Doctoral Training in Offshore Wind Energy Sustainability and Resilience [EP/Y034732/1, £6.2M]. 

Prospective Students

Please send me your CV if you are a motivated student with strong background in any of the following fields:

• Energy system modelling
• Microgrids
• Power electronics
• Renewable integration (wind and PV)

• Microgrid
• Power Electronics
• Renewable Energy
• Smart Grid
• Fault-Tolerant Control
• Electric Drives

Chapter in book

• Power Electronic Converters in Microgrid Applications
  
  Shahbazi, M., & Khorsandi, A. (2016). Power Electronic Converters in Microgrid Applications. In M. Mahmoud (Ed.), Microgrid: Advanced Control Methods and Renewable Energy System Integration. Elsevier.

Conference Paper

• Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration
  
  Khadijah Hamzah, S., Kazemtabrizi, B., & Shahbazi, M. (2024). Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration. In 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024) (pp. 180-187). IET. https://doi.org/10.1049/icp.2024.2155
• Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems
  
  Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2021). Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems. Presented at 14th IEEE PES PowerTech Conference, Madrid, Spain. https://doi.org/10.1109/powertech46648.2021.9494970
• Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance
  
  Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2020). Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance. In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) : proceedings. (pp. 108-113). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/isie45063.2020.9152548
• Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control
  
  Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2019). Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control. In 9th International Conference on Power and Energy Systems (ICPES), Perth, Australia, 2019. (pp. 1-6). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icpes47639.2019.9105639
• Coordinated Control of DC Voltage Magnitudes and State of Charges in a Cluster of DC Microgrids
  
  Shahbazi, M., Kazemtabrizi, B., & Dent, C. (2016). Coordinated Control of DC Voltage Magnitudes and State of Charges in a Cluster of DC Microgrids. Presented at IEEE PES Innovative Smart Grid Technologies, Europe, Ljubljana, Slovenia. https://doi.org/10.1109/isgteurope.2016.7856272

Journal Article

• An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems
  
  Shahbazi, M. (2024). An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems. IEEE Transactions on Power Systems. Advance online publication. https://doi.org/10.1109/tpwrs.2024.3514815
• Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1
  
  Hamedani, P., Fazel, S. S., & Shahbazi, M. (2025). Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. International Journal of Engineering, 38(3), 528-538. https://doi.org/10.5829/ije.2025.38.03c.02
• A Switch-Mode and Waveform Shaping Inverter With an Intrinsically Adjustable Nonlinear Output Capacitance
  
  Lotfi, A., Shahbazi, M., Issa, W., Wheeler, P., Sekiya, H., Kazimierczuk, M. K., & Blaabjerg, F. (2024). A Switch-Mode and Waveform Shaping Inverter With an Intrinsically Adjustable Nonlinear Output Capacitance. IEEE Access, 12, 165918-165927. https://doi.org/10.1109/access.2023.3309295
• Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1
  
  Hamedani, P., Fazel, S. S., & Shahbazi, M. (2024). Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. Journal of Electrical and Computer Engineering Innovations, 12(2), 439-448. https://doi.org/10.22061/jecei.2024.10665.728
• Understanding wind turbine power converter reliability under realistic wind conditions
  
  Alsaadi, S., Crabtree, C. J., Matthews, P. C., & Shahbazi, M. (2024). Understanding wind turbine power converter reliability under realistic wind conditions. IET Power Electronics, 17(4), 524-533. https://doi.org/10.1049/pel2.12670
• A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters
  
  Shahbazi, M., Smith, N. A., Marzband, M., & Habib, H. U. R. (2023). A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters. Energies, 16(16), Article 6071. https://doi.org/10.3390/en16166071
• A Quasi-Z-Source Four-Switch Three-Phase Inverter with Null Vector Capability
  
  Haghi, R., Beiranvand, R., & Shahbazi, M. (2023). A Quasi-Z-Source Four-Switch Three-Phase Inverter with Null Vector Capability. IEEE Transactions on Industrial Electronics, 70(6), 5421-5432. https://doi.org/10.1109/tie.2022.3198238
• Real-time resilient Microgrid power management based on multi-agent systems with price forecast
  
  Cruz-Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2023). Real-time resilient Microgrid power management based on multi-agent systems with price forecast. IET Smart Grid, 6(2), 190-204. https://doi.org/10.1049/stg2.12089
• Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control
  
  Cruz Victorio, M. E., Kazemtabrizi, B., & Shahbazi, M. (2022). Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control. IET Smart Grid, 5(5), 347-362. https://doi.org/10.1049/stg2.12073
• Enhancing reliability of photovoltaic power electronic converters under dynamic irradiance conditions
  
  Jacobo Tapia, R., & Shahbazi, M. (2022). Enhancing reliability of photovoltaic power electronic converters under dynamic irradiance conditions. Microelectronics Reliability, 135, Article 114583. https://doi.org/10.1016/j.microrel.2022.114583
• Universal Branch Model for the Solution of Optimal Power Flows in Hybrid AC/DC Grids
  
  Alvarez-Bustos, A., Kazemtabrizi, B., Shahbazi, M., & Acha, E. (2021). Universal Branch Model for the Solution of Optimal Power Flows in Hybrid AC/DC Grids. International Journal of Electrical Power & Energy Systems, 126(Part A), Article 106543. https://doi.org/10.1016/j.ijepes.2020.106543
• Theoretical and technical potential evaluation of solar power generation in Iran
  
  Ghasemi, G., Noorollahi, Y., Alavi, H., Marzband, M., & Shahbazi, M. (2019). Theoretical and technical potential evaluation of solar power generation in Iran. Renewable Energy, 138, 1250-1261. https://doi.org/10.1016/j.renene.2019.02.068
• Fast Detection of Open-Switch Fault in Cascaded H-Bridge Multilevel Converter
  
  Shahbazi, M., Zolghadri, M., Khodabandeh, M., & Ouni, S. (2018). Fast Detection of Open-Switch Fault in Cascaded H-Bridge Multilevel Converter. Scientia Iranica : Internationa Journal of Science & Technology., 25(3), 1561-1570. https://doi.org/10.24200/sci.2017.4371
• Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system
  
  Shahbazi, M., Poure, P., & Saadate, S. (2018). Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system. Renewable Energy, 116, 209-218. https://doi.org/10.1016/j.renene.2017.02.066
• Improvement of Post-Fault Performance of a Cascaded H-bridge Multilevel Inverter
  
  Ouni, S., Zolghadri, M., Khodabandeh, M., Shahbazi, M., Rodriguez, J., Oraee, H., Lezana, P., & Schmeisser, A. (2017). Improvement of Post-Fault Performance of a Cascaded H-bridge Multilevel Inverter. IEEE Transactions on Industrial Electronics, 64(4), 2779-2788. https://doi.org/10.1109/tie.2016.2632058
• Quick Diagnosis of Short Circuit Fault in Cascaded H-Bridge Multilevel Inverter using FPGA
  
  Ouni, S., Zolghadri, M., Rodriguez, J., Shahbazi, M., Oraee, H., Lezana, P., & Schmeisser, A. (2017). Quick Diagnosis of Short Circuit Fault in Cascaded H-Bridge Multilevel Inverter using FPGA. Journal of Power Electronics., 17(1), Article 56-66. https://doi.org/10.6113/jpe.2017.17.1.56
• Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter
  
  Shahbazi, M., Saadate, S., Poure, P., & Zolghadri, M. (2016). Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter. Electric Power Systems Research, 137, 104-112. https://doi.org/10.1016/j.epsr.2016.04.004
• T-Type Direct AC/AC Converter Structure
  
  Khodabandeh, M., Zolghadri, M., Shahbazi, M., & Noroozi, N. (2016). T-Type Direct AC/AC Converter Structure. IET Power Electronics, 9(7), 1426-1436. https://doi.org/10.1049/iet-pel.2015.0151
• Open- and Short-Circuit Switch Fault Diagnosis for Nonisolated DC–DC Converters Using Field Programmable Gate Array
  
  Shahbazi, M., Jamshidpour, E., Poure, P., Saadate, S., & Zolghadri, M. (2013). Open- and Short-Circuit Switch Fault Diagnosis for Nonisolated DC–DC Converters Using Field Programmable Gate Array. IEEE Transactions on Industrial Electronics, 60(9), 4136-4146. https://doi.org/10.1109/tie.2012.2224078
• FPGA-based fast detection with reduced sensor count for a fault-tolerant three-phase converter
  
  Shahbazi, M., Poure, P., Saadate, S., & Zolghadri, M. (2013). FPGA-based fast detection with reduced sensor count for a fault-tolerant three-phase converter. IEEE Transactions on Industrial Informatics, 9(3), 1343-1350. https://doi.org/10.1109/tii.2012.2209665
• FPGA-Based Reconfigurable Control for Fault-Tolerant Back-to-Back Converter Without Redundancy
  
  Shahbazi, M., Poure, P., Saadate, S., & Zolghadri, M. (2013). FPGA-Based Reconfigurable Control for Fault-Tolerant Back-to-Back Converter Without Redundancy. IEEE Transactions on Industrial Electronics, 60(8), 3360-3371. https://doi.org/10.1109/tie.2012.2200214
• Fault-Tolerant Five-Leg Converter Topology With FPGA-Based Reconfigurable Control
  
  Shahbazi, M., Poure, P., Saadate, S., & Zolghadri, M. (2013). Fault-Tolerant Five-Leg Converter Topology With FPGA-Based Reconfigurable Control. IEEE Transactions on Industrial Electronics, 60(6), 2284-2294. https://doi.org/10.1109/tie.2012.2191754
• Five-leg converter topology for wind energy conversion system with doubly fed induction generator
  
  Shahbazi, M., Poure, P., Saadate, S., & Zolghadri, M. (2011). Five-leg converter topology for wind energy conversion system with doubly fed induction generator. Renewable Energy, 36(11), 3187-3194. https://doi.org/10.1016/j.renene.2011.03.014