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Dr Mahmoud Shahbazi's Outputs (29)

An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems (2024)
Journal Article
Shahbazi, M. (online). An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems. IEEE Transactions on Power Systems, https://doi.org/10.1109/tpwrs.2024.3514815

This paper introduces a new efficient universal AC/DC branch model, SADRA, for modelling hybrid AC/DC systems in optimal power flow studies, with provisions of voltage and power controls. SADRA offers a versatile approach for modelling diverse AC, DC... Read More about An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems.

Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1 (2024)
Journal Article
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

Regeneration of electric energy during braking is an important issue in electric railway systems. Especially in older electric railway systems that have non-reversible DC traction substations, the goal is to modify the structure of the DC traction su... Read More about Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1.

Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration (2024)
Presentation / Conference Contribution
Khadijah Hamzah, S., Kazemtabrizi, B., & Shahbazi, M. (2024, June). Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration. Presented at PEMD 2024: Power Electronics, Machines and Drives 13th International Conference, Nottingham, UK

Renewable energy-based power systems are highly influenced by weather, creating uncertainty and variability in output that fluctuates over time, making the balancing of supply and demand much more challenging. A deterministic optimisation tool has li... Read More about Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration.

Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1 (2024)
Journal Article
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

Background and Objectives: Modeling and simulation of electric railway networks is an important issue due to their non-linear and variant nature. This problem becomes more serious with the enormous growth in public transportation tracks and the numbe... Read More about Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1.

Understanding wind turbine power converter reliability under realistic wind conditions (2024)
Journal Article
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

The reliability of wind turbine power converters is crucial for analyzing wind energy project costs, and for estimating maintenance and downtime. The published literature in this field relies on evaluating the reliability effect of wind speed to esti... Read More about Understanding wind turbine power converter reliability under realistic wind conditions.

Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient (2023)
Journal Article
Lotfi, A., Shahbazi, M., Issa, W., Wheeler, P., Sekiya, H., Kazimierczuk, M. K., & Blaabjerg, F. (online). Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient. IEEE Access, https://doi.org/10.1109/access.2023.3309295

In this paper, the analysis and design of a class-E/F n inverter using analytically expressions is provided for any grading coefficient m of the MOSFET body junction diode at 50% duty ratio. Generally, the class-E zero-voltage switching (ZVS) and zer... Read More about Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient.

A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters (2023)
Journal Article
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

The reliability of power converters in photovoltaic systems is critical to the overall system reliability. This paper proposes a novel active thermal-controlled algorithm that aims to reduce the rate of junction temperature increase, therefore, incre... Read More about A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters.

Real-time resilient Microgrid power management based on multi-agent systems with price forecast (2022)
Journal Article
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

Microgrids have emerged to diversify conventional electric generation using small-scale distributed generation. Large efforts have been put into designing control strategies to optimise the power schedules of microgrids, however, verification that su... Read More about Real-time resilient Microgrid power management based on multi-agent systems with price forecast.

A Quasi-Z-Source Four-Switch Three-Phase Inverter with Null Vector Capability (2022)
Journal Article
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

In this paper, a novel structure for a four-switch three-phase inverter with the ability of creating a null vector is proposed. This structure utilizes a symmetrical quasi-Z-source network and generates zero output voltage during the shoot-through st... Read More about A Quasi-Z-Source Four-Switch Three-Phase Inverter with Null Vector Capability.

Enhancing reliability of photovoltaic power electronic converters under dynamic irradiance conditions (2022)
Journal Article
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

This paper presents a novel temperature-controlled maximum power point tracking (MPPT) algorithm for lifetime improvement of a photovoltaic (PV) converter under dynamic irradiance conditions. The proposed algorithm controls and limits the junction te... Read More about Enhancing reliability of photovoltaic power electronic converters under dynamic irradiance conditions.

Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control (2022)
Journal Article
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

With the increasing needs to decarbonise existing energy systems, there is an effort to integrate small-scale distributed generation sources, such as wind generators, with the electric demand in circuits known as microgrids. The operation of distribu... Read More about Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control.

Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems (2021)
Presentation / Conference Contribution
Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2023, June). Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems. Presented at 14th IEEE PES PowerTech Conference, Madrid, Spain

Multi-Agent systems offer a way to control distributed generation in microgrids, reliability and cost minimisation capabilities can be improved by price forecast methodologies that can be deployed without the need of external control signals. This pa... Read More about Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems.

Universal Branch Model for the Solution of Optimal Power Flows in Hybrid AC/DC Grids (2020)
Journal Article
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

This paper presents a universal model formulation for solving Optimal Power Flows for hybrid AC/DC grids. The prowess of the new formulation is that it (i) provides a direct link between AC and DC parts of the grid allowing for solving the entire net... Read More about Universal Branch Model for the Solution of Optimal Power Flows in Hybrid AC/DC Grids.

Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance (2020)
Presentation / Conference Contribution
Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2020, June). Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance. Presented at 29th IEEE International Symposium on Industrial Electronics, Delft, Netherlands

This paper presents a distributed real-time control scheme based on multi-agent systems for cost optimisation of a micro-grid using real-time dynamic price estimation. The real-time prices are forecast using realistic UK energy price data via a Marko... Read More about Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance.

Theoretical and technical potential evaluation of solar power generation in Iran (2019)
Journal Article
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

Nowadays, utilizing solar energy for power production at high efficiency and in a cost-effective status is a challenging issue for power plant engineers. This challenge would be answered by considering several affecting parameters such as technical,... Read More about Theoretical and technical potential evaluation of solar power generation in Iran.

Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control (2019)
Presentation / Conference Contribution
Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2019, December). Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control. Presented at 9th International Conference on Power and Energy Systems, Perth, Australia

microgrid, implementing real-time generation cost minimisation. The MultiAgent control is tested against heuristic optimisation methods. It is shown that the control can reduce costs without the need of a central controller and in times of the order... Read More about Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control.

Fast Detection of Open-Switch Fault in Cascaded H-Bridge Multilevel Converter (2017)
Journal Article
Shahbazi, M., Zolghadri, M., Khodabandeh, M., & Ouni, S. (2018). Fast Detection of Open-Switch Fault in Cascaded H-Bridge Multilevel Converter. Scientia iranica, 25(3), 1561-1570. https://doi.org/10.24200/sci.2017.4371

Cascaded H-Bridge converter has recently been utilized in different high-power applications due to its modular and simple structure. In order to have a balanced operation after a fault occurrence in this converter, it is necessary to detect the switc... Read More about Fast Detection of Open-Switch Fault in Cascaded H-Bridge Multilevel Converter.

Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system (2017)
Journal Article
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

As wind energy production increases, reliability and fault-tolerant operation capability of wind energy systems are becoming more important. Modern wind energy production systems use power electronic converters which are unfortunately proved to be on... Read More about Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system.

Quick Diagnosis of Short Circuit Fault in Cascaded H-Bridge Multilevel Inverter using FPGA (2017)
Journal Article
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), 56-66. https://doi.org/10.6113/jpe.2017.17.1.56

Fast and accurate fault detection is the primary step and one of the most important tasks in fault tolerant converters. In this paper, a fast and simple method is proposed to detect and diagnosis the faulty cell in a cascaded H-bridge multilevel inve... Read More about Quick Diagnosis of Short Circuit Fault in Cascaded H-Bridge Multilevel Inverter using FPGA.