Dr Meghdad Fazeli

Senior Lecturer

Electronic and Electrical Engineering

+44 (0) 1792 602768

m.fazeli@swansea.ac.uk

Office - 116
First Floor
Energy Safety Research Institute
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0003-1448-5339

ResearchGate

Google Scholar

About

Research:

Reducing greenhouse gas emission is no longer a choice, but an urgency to save the planet from a catastrophe. Decarbonisation of power systems, as a major source of carbon dioxide emission, plays a vital role in achieving the targets and save the planet from a human-made disaster.

Since 2007 Dr Fazeli’s research has been focused on the integration and control of renewable energy with the power systems.

The ever-increasing penetration of renewable energy units has been causing numerous challenges for the network operators and has put the power networks on the verge of instability. Balancing the intermittent generation with demand, reduction in the system inertia, and reduction in the Short Circuit Level are just couple of challenges that power networks encounters as more renewables are integrated with the grid.

Dr Fazeli’s research aims to provide innovative solutions for these challenges, in order to enable a carbon-free electricity network.

Because of his research on Virtual Synchronous Machines, Dr Fazeli was invited by National Grid (ESO) to join their VSM expert workgroup, where he contributed in developing the technical specifications for VSMs.

Dr Fazeli is also the founder/director of Innoverters-Ltd, a Swansea University spin-out, aiming to provide consultancy and innovative solutions for challenges of future power systems (based on his inventions).

Teaching:

Dr Fazeli’s teaching approach, which is student orientated, utilizes “Blended Learning” methods to provide students with a variety of resources for a deep and better learning. For example, Dr Fazeli records all his lectures, uploads the lecture notes in advance, and incorporates modelling with MATLAB-SIMULINK to his lectures.

Areas Of Expertise

Power Systems
Power Electronics
Micro/smart- grids
Virtual Synchronous Machines
Ancillary services in future power systems
Power quality
Energy Management Systems
Generation and load forecast using Artificial Intelligence

Career Highlights

Teaching Interests

Dr Fazeli is the coordinator for the following modules:

EG-342: Power Systems
EGLM07: Power Systems with Project
EGLM05: Advanced Power Systems
EGLM114: Computational Case Study in Power Engineering and Sustainable Energy
EG-D05 MSc Dissertation - Electrical Engineering

Collaborations

Publications

Research Highlights

AL-SOROUR, A., Fazeli, M., Monfared, M., & Fahmy Abdo, A. (2023). Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System. IEEE Access, 11, 12489-12503.
https://doi.org/10.1109/access.2023.3242052, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62478
Nasser, N., Fazeli, M., & Aboushady, A. (2022). Buffered Microgrids with Modular Back-to-Back Converter Grid Interface. Energies, 15(21), 7879
https://doi.org/10.3390/en15217879, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61605
Al-Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading. IEEE Access, 10, 93760-93772.
https://doi.org/10.1109/access.2022.3202649, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60988
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts. IEEE Access, 10, 29357-29366.
https://doi.org/10.1109/access.2022.3158303, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59598
Baruwa, M. & Fazeli, M. (2022). The Role of Virtual Synchronous Machines in Future Power Systems: A Review and Future Trends. Electric Power Systems Research, 206, 107775
https://doi.org/10.1016/j.epsr.2022.107775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59057
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Enhancing Self-consumption of PV-battery Systems Using a Predictive Rule-based Energy Management. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)IEEE.
https://doi.org/10.1109/isgteurope52324.2021.9640051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58321
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Forecast-Based Energy Management for Domestic PV-Battery Systems: A U.K. Case Study. IEEE Access, 9, 58953-58965.
https://doi.org/10.1109/access.2021.3072961, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56658
Baruwa, M. & Fazeli, M. (2021). Impact of Virtual Synchronous Machines on Low-Frequency Oscillations in Power Systems. IEEE Transactions on Power Systems, 36(3), 1934-1946.
https://doi.org/10.1109/tpwrs.2020.3029111, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55336
Fazeli, M. (2020). A new method for integrating and controlling synchronous generators in power systems (GB2012267.7)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55112
Nasser, N. & Fazeli, M. (2020). Buffered-microgrid Structure for Future Power Networks; a Seamless Microgrid Control. IEEE Transactions on Smart Grid, 12(1), 1-1.
https://doi.org/10.1109/tsg.2020.3015573, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54908

All Research

Journal Articles

AL-SOROUR, A., Fazeli, M., Monfared, M., & Fahmy Abdo, A. (2023). Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System. IEEE Access, 11, 12489-12503.
https://doi.org/10.1109/access.2023.3242052, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62478
Nasser, N., Fazeli, M., & Aboushady, A. (2022). Buffered Microgrids with Modular Back-to-Back Converter Grid Interface. Energies, 15(21), 7879
https://doi.org/10.3390/en15217879, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61605
Al-Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading. IEEE Access, 10, 93760-93772.
https://doi.org/10.1109/access.2022.3202649, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60988
Baruwa, M. & Fazeli, M. (2022). The Role of Virtual Synchronous Machines in Future Power Systems: A Review and Future Trends. Electric Power Systems Research, 206, 107775
https://doi.org/10.1016/j.epsr.2022.107775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59057
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2022). MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts. IEEE Access, 10, 29357-29366.
https://doi.org/10.1109/access.2022.3158303, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59598
Baruwa, M. & Fazeli, M. (2021). Impact of Virtual Synchronous Machines on Low-Frequency Oscillations in Power Systems. IEEE Transactions on Power Systems, 36(3), 1934-1946.
https://doi.org/10.1109/tpwrs.2020.3029111, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55336
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Forecast-Based Energy Management for Domestic PV-Battery Systems: A U.K. Case Study. IEEE Access, 9, 58953-58965.
https://doi.org/10.1109/access.2021.3072961, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56658
Fazeli, M., Holland, P., & BARUWA, M. (2020). “Grid”-Less Power Systems: A Vision for Future Structure of Power Networks. IEEE Access, 8, 159120-159131.
https://doi.org/10.1109/access.2020.3020455, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55089
Nasser, N. & Fazeli, M. (2020). Buffered-microgrid Structure for Future Power Networks; a Seamless Microgrid Control. IEEE Transactions on Smart Grid, 12(1), 1-1.
https://doi.org/10.1109/tsg.2020.3015573, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54908
Muftau, B., Fazeli, M., & Egwebe, A. (2020). Stability analysis of a PMSG based Virtual Synchronous Machine. Electric Power Systems Research, 180, 106170
https://doi.org/10.1016/j.epsr.2019.106170, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53111
Wen, H. & Fazeli, M. (2019). A new control strategy for low-voltage ride-through of three-phase grid-connected PV systems. The Journal of Engineering, 2019(18), 4900-4905.
https://doi.org/10.1049/joe.2018.9254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45066
Wen, H. & Fazeli, M. (2019). A low-voltage ride-through strategy using mixed potential function for three-phase grid-connected PV systems. Electric Power Systems Research, 173, 271-280.
https://doi.org/10.1016/j.epsr.2019.04.039, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50131
Monfared, M., Fazeli, M., Lewis, R., Searle, J., & Monfared, M. (2019). Fuzzy Predictor With Additive Learning for Very Short-Term PV Power Generation. IEEE Access, 7, 91183-91192.
https://doi.org/10.1109/access.2019.2927804, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50996
Baruwa, M., Fazeli, M., & Egwebe, A. (2019). New control paradigm for both islanded and grid-connected operation of PMSG-based wind turbine. The Journal of Engineering
https://doi.org/10.1049/joe.2018.9359, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45065
Egwebe, A., Fazeli, M., & Holland, P. (2018). Adaptive virtual resistance load sharing for resistive microgrids. Electric Power Systems Research, 160, 17-26.
https://doi.org/10.1016/j.epsr.2018.01.022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38256
Fazeli, M. & Holland, P. (2017). Universal and Seamless Control of Distributed Resources-Energy Storage for all Operational Scenarios of Microgrids. IEEE Transactions on Energy Conversion, 1-1.
https://doi.org/10.1109/TEC.2017.2689505, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32722
Egwebe, A., Fazeli, M., Igic, P., & Holland, P. (2016). Implementation and Stability Study of Dynamic Droop in Islanded Microgrids. IEEE Transactions on Energy Conversion, 31(3), 821-832.
https://doi.org/10.1109/TEC.2016.2540922, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27249
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7438843
Madinei, H., Khodaparast, H., Adhikari, S., Friswell, M., Fazeli, M., Friswell, M., Adhikari, S., Fazeli, M., Haddad Khodaparast, H., & Madinei, H. (2015). Adaptive tuned piezoelectric MEMS vibration energy harvester using an electrostatic device. The European Physical Journal Special Topics, 224(14-15), 2703-2717.
https://doi.org/10.1140/epjst/e2015-02584-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24603
Fazeli, M., Ekanayake, J., Holland, P., & Igic, P. (2014). Exploiting PV Inverters to Support Local Voltage—A Small-Signal Model. IEEE Transactions on Energy Conversion, 29(2), 453-462.
https://doi.org/10.1109/TEC.2014.2300012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17304
Fazeli, M. (2012). Novel Integration of Wind Generator-Energy Storage Systems Within Microgrids. IEEE Transactions on Smart Grid, 3(2), 728-737.
https://doi.org/10.1109/TSG.2012.2185073, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17308
Fazeli, M. (2011). Novel Integration of DFIG-Based Wind Generators Within Microgrids. IEEE Transactions on Energy Conversion, 26(3), 840-850.
https://doi.org/10.1109/TEC.2011.2146253, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17305

Conference Contributions

Rezazadeh, H., Monfared, M., Fazeli, M., & Golestan, S. (2023). Single-phase Grid-forming Inverters: A Review. In 2023 International Conference on Computing, Electronics and Communications Engineering (iCCECE), 14-16 August 2023, Swansea, UKIEEE.
https://doi.org/10.1109/iccece59400.2023.10238661, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64453
http://dx.doi.org/10.1109/iccece59400.2023.10238661
Sorour, A., Fazeli, M., Monfared, M., Fahmy Abdo, A., Searle, J., & Lewis, R. (2021). Enhancing Self-consumption of PV-battery Systems Using a Predictive Rule-based Energy Management. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)IEEE.
https://doi.org/10.1109/isgteurope52324.2021.9640051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58321
Monfared, M., Fazeli, M., Lewis, R., & Searle, J. (2020). Day-Ahead Prediction of PV Generation Using Weather Forecast Data: a Case Study in the UK. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)IEEE.
https://doi.org/10.1109/icecce49384.2020.9179454, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54786
Egwebe, A., Fazeli, M., Igic, P., Holland, P., & Fazeli, M. (2016). Dynamic active power sharing in a resistive microgrid. In 2016 4th International Symposium on Environmental Friendly Energies and Applications (EFEA) (pp. 1-6).
https://doi.org/10.1109/EFEA.2016.7748790, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30099
Fazeli, M. (2016). Comprehensive lecture notes vs gapped lecture notes – a case study and a ‎survey. In SALT Conference, Swansea, UK, June 2016
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30227
Fazeli, M. (2016). Formative feedback on examples. In SALT Conference, Swansea, UK, June 2016
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30228
Fazeli, M. (2016). Evaluation of the Effectiveness of E-Lectures on Students’ Learning. In ‎4th European Conference on Education, ECE‎
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30226
http://papers.iafor.org/submission31957/‎
Fazeli, M. (2013). “Voltage Control by Photovoltaic Generation”. In PVSAT-9Solar Energy Society.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19718
http://www.gbv.de/dms/tib-ub-hannover/749692316.pdf
Fazeli, M. (2012). Using Distributed Photovoltaic Generation for Voltage Control. In IEEE EnergyConIEEE.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19720
Fazeli, M. (2011). Novel maximum power point tracking with classical cascaded voltage and current loops for photovoltaic systems. (pp. 24-24).
https://doi.org/10.1049/cp.2011.0109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17306
Fazeli, M. (2010). Novel control scheme for wind generation with energy storage supplying a given demand power.
https://doi.org/10.1109/EPEPEMC.2010.5606537, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17307
Fazeli, M. (2010). “Novel integration of energy storage with wind turbines”. In European Wind Energy Conference and ExhibitionEWEC.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19719
Fazeli, M. (2009). Wind turbine-energy storage control system for delivering constant demand power shared by DFIGs through droop characteristics. In 13th European Conference on Power Electronics and Applications,EPE
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17309
Fazeli, M. (2008). Voltage and frequency control of offshore DFIG-based wind farms with line commutated HVDC connection. In 4th Power Electronics, Machines and Drives, PEMD
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17310

Other Research Outputs

Fazeli, M. (2020). A new method for integrating and controlling synchronous generators in power systems (GB2012267.7)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55112
Fazeli, M. (n.d.) Energy Management Systems for Grid-connected Renewable Energy (‎Patent Application No. GB1610503.3‎)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29756
Fazeli, M. (n.d.) Universal and Seamless control of Distributed Resources‎ (Patent Application No. GB1612350.7‎)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29757
Fazeli, M. (n.d.) Dynamic Active and Reactive Power Sharing Schemes in Islanded ‎Microgrids (Patent Application No. GB1613956.0)‎
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29758

Supervision

Untitled (current)

PhD

Other supervisor: Dr Mohammad Monfared
Design and Control Modular Multilevel Converter based-PV battery system. (current)

PhD

Other supervisor: Dr Mohammad Monfared
Energy Management of distributed network containing renewable energy resources. (current)

PhD

Other supervisor: Dr Ashraf Fahmy Abdo
Single-phase PV-battery synchronverter with seamless transition to stand-alone mode (current)

PhD

Other supervisor: Dr Mohammad Monfared
Low-Profile Wideband Antenna Arrays for Mobile Satellite and 5G Communication (awarded 2023)

PhD

Other supervisor: Prof Amit Mehta
Residential PV Energy Management System (current)

PhD

Other supervisor: Dr Zhongfu Zhou
Forecast-based energy management systems. (awarded 2023)

PhD

Other supervisor: Dr Augustine Egwebe

Other supervisor: Dr Mohammad Monfared

Taught Modules

EG-277 Research Project Preparation

This module has been designed to provide you with information needed ahead of undertaking a research project in Year 3 of studies. The research project in Year 3 is worth 30 credits, and will involve the application of scientific and engineering principles to the solution of a practical problem associated with engineering systems and processes. In the research project you will gain experience in working independently on a substantial, individually assigned task, using accepted planning procedures. It will require and develop self-organisation and the critical evaluation of options and results, as well as developing technical knowledge in the chosen topic. The preparation for the research project commences in Year 2 where you are required to engage in project selection. In this preparation module we will confirm the options available to you to either define your own project or to select from a list of project titles and descriptors put forward by academic staff. Communications concerned project selection will be done via the Canvas course page. Additional supplementary resources will also be provided.
EG-342 Power Systems

This module aims to introduce the component of a Power Network and analyse their operation in both balanced and unbalanced conditions
EG-353 Individual Engineering Project

The module involves the application of scientific and engineering principles to the solution of a practical problem associated with engineering systems and processes. The student will gain experience in working independently on a substantial, individually assigned task, using accepted planning procedures. It will require and develop self-organisation and the critical evaluation of options and results, as well as developing technical knowledge in the chosen topic.
EG-D05 MSc Dissertation - Electrical Engineering

The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen by the student following consultation with academic staff.
EGLM05 Advanced Power Systems

This module will study Power Networks control including active power-frequency control, voltage-reactive power control and fault analysis. Integration of Renewable resources (including wind and solar) within the grid will be also discussed, which leads to the introduction of of distributed generation, microgrids and smart grids.
EGLM07 Power Systems with Project

This module aims to introduce the component of a Power Network and discuss their operation in both balanced and unbalanced conditions. The students are required to self-study Load Flow analysis using the provided lecture notes (and other sources). Load Flow analysis will be assessed by a project (not in the final exam), which is 25% of the final mark.

Dr Meghdad Fazeli

Telephone number

Email address

LinkedIn Account

Research Links

About

Areas Of Expertise

Career Highlights

Publications

Research Highlights

All Research

Journal Articles

Conference Contributions

Other Research Outputs

Supervision

Untitled (current)

Design and Control Modular Multilevel Converter based-PV battery system. (current)

Energy Management of distributed network containing renewable energy resources. (current)

Single-phase PV-battery synchronverter with seamless transition to stand-alone mode (current)

Low-Profile Wideband Antenna Arrays for Mobile Satellite and 5G Communication (awarded 2023)

Residential PV Energy Management System (current)

Forecast-based energy management systems. (awarded 2023)

Taught Modules

EG-277 Research Project Preparation

EG-342 Power Systems

EG-353 Individual Engineering Project

EG-D05 MSc Dissertation - Electrical Engineering

EGLM05 Advanced Power Systems

EGLM07 Power Systems with Project