Dr Mohsen Ghaffarpour

Dr Mohsen Ghaffarpour

Research Academic

School of Electrical Engineering and Computing (Electrical and Computer Engineering)

Career Summary

Biography

Mohsen received the B.Sc. degree in electrical engineering from Shiraz University, Shiraz, Iran, in 1998, M.Sc. degree in electrical engineering from Amirkabir University of technology, Tehran, Iran, in 2001 and Ph.D. degree in electrical engineering and computer science from the University of Newcastle, Australia. From 2001 to 2011, he was an Electrical Engineer with Moshanir, IranKhodro, and BooAli Petrochemical companies, Tehran, Iran, and from 2008 to 2010, he was a Consultant with Tehran University, Tehran, Iran. From 2011 to 2013, he was with The University of Newcastle as a Research Assistant. He is currently working as Research Academic since 2016 at the University of Newcastle.

His research interests include microgrids, dc/dc converters, power systems, renewable energies and hybrid systems.

 


Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor of Engineering in Electronics & Comm Eng., Shiraz University - Iran
  • Master of Engineering (Electrical), Amirkabir University of Technology - Iran

Fields of Research

Code Description Percentage
090699 Electrical and Electronic Engineering not elsewhere classified 100

Professional Experience

UON Appointment

Title Organisation / Department
Research Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
Casual Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
Casual Academic University of Newcastle
School of Electrical Engineering and Computing
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (4 outputs)

Year Citation Altmetrics Link
2017 Jahromi MG, Mirzaeva G, Mitchell SD, 'Design and Control of a High-Power Low-Loss DC-DC Converter for Mining Applications', IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 53 5105-5114 (2017) [C1]
DOI 10.1109/TIA.2017.2712118
Co-authors Steve Mitchell, Galina Mirzaeva
2017 Mirzaeva G, Saad KI, Jahromi MG, 'Comprehensive Diagnostics of Induction Motor Faults Based on Measurement of Space and Time Dependencies of Air Gap Flux', IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 53 2657-2666 (2017) [C1]
DOI 10.1109/TIA.2016.2628718
Citations Scopus - 3Web of Science - 2
Co-authors Galina Mirzaeva
2016 Jahromi MG, Mitchell SD, Mirzaeva G, Gay D, 'A New Method for Power System Load Modeling Using a Nonlinear System Identification Estimator', IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 52 3535-3542 (2016)
DOI 10.1109/TIA.2016.2539125
Co-authors Steve Mitchell, Galina Mirzaeva
2016 Jahromi MG, Mirzaeva G, Mitchell SD, Gay D, 'Powering Mobile Mining Machines: DC Versus AC Power', IEEE Industry Applications Magazine, 22 63-72 (2016) [C1]
DOI 10.1109/MIAS.2015.2459082
Citations Scopus - 2Web of Science - 2
Co-authors Steve Mitchell, Galina Mirzaeva
Show 1 more journal article

Conference (6 outputs)

Year Citation Altmetrics Link
2016 Ghaffarpour M, Mirzaeva G, Mitchell SD, 'Design of a high power low losses DC-DC converter for mining applications', 2016 IEEE Industry Applications Society Annual Meeting, Portland, Oregon (2016) [E1]
DOI 10.1109/IAS.2016.7731921
Citations Scopus - 1
Co-authors Galina Mirzaeva, Steve Mitchell
2016 Ghaffarpour M, Mirzaeva G, Mitchell SD, 'Control strategy for a high power DC transformer with soft switching scheme for mining applications', 2016 IEEE Industry Applications Society Annual Meeting, Portland, Oregon (2016) [E1]
Citations Scopus - 1
Co-authors Galina Mirzaeva, Steve Mitchell
2016 Ghaffarpour Jahromi M, Mirzaeva G, Mitchell SD, 'Practical design and validation of an LCL DC-DC converter', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), Auckland, New Zealand (2016) [E1]
DOI 10.1109/SPEC.2016.7846154
Co-authors Galina Mirzaeva, Steve Mitchell
2015 Jahromi MG, Mitchell SD, Mirzaeva G, Gay D, 'A new method for power system load modeling using a nonlinear system identification estimator', IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record (2015) [E1]

© 2015 IEEE. This paper proposes a new method for measurements-based modeling of nonlinear loads in power systems. This method includes a combination of a binary tree algorithm w... [more]

© 2015 IEEE. This paper proposes a new method for measurements-based modeling of nonlinear loads in power systems. This method includes a combination of a binary tree algorithm with Nonlinear Auto-Regressive with Exogenous Input (NARX) identification. The paper demonstrates that the new method performs well without any prior knowledge of the system structure. In contrast to other load modeling methods, which are typically aimed for particular studies or load types, the proposed method can be used with any load type and for any study. Accurate load modeling is particularly important for studies of industrial networks and grids. In this study, a field data set was collected in a mine site from a large electrical rope shovel. This data set has been used to develop a model of the rope shovel based on the proposed binary tree - NARX algorithm. When compared to other known methods, such as Wavelet and Sigmoid networks, the proposed method has shown the fastest training time and the highest accuracy. Finally, the modeling results have been verified against another set of field measurements from an existing network, and have shown a very good agreement.

DOI 10.1109/IAS.2015.7356902
Citations Scopus - 2
Co-authors Steve Mitchell, Galina Mirzaeva
2015 Jahromi MG, Mirzaeva G, Mitchell SD, Gay D, 'Advanced fault tolerance strategy for DC microgrids in mining excavators', IEEE International Symposium on Industrial Electronics (2015) [E1]

© 2015 IEEE. Recently, DC microgrids have become a viable option for mining distribution systems. Fault diagnostics and protection are known challenges in DC microgrids. In this ... [more]

© 2015 IEEE. Recently, DC microgrids have become a viable option for mining distribution systems. Fault diagnostics and protection are known challenges in DC microgrids. In this paper, we present an overview of the existing strategies for fault diagnostics and protection of a DC microgrid and apply them to an open cut DC mine scenario, which includes large electric excavators. We propose a comprehensive fault tolerance strategy based on analysis of electrical and mechanical operations of an electric rope shovel and identification of its working cycle. Based on this strategy, in case of a fault, the electric rope shovel will be able to perform required actions to avoid collisions and safely finish its working cycle, while maintaining electric safety.

DOI 10.1109/ISIE.2015.7281696
Citations Scopus - 5Web of Science - 4
Co-authors Steve Mitchell, Galina Mirzaeva
2014 Mirzaeva G, Ghaffarpour M, Mitchell SD, Gay D, 'DC power vs AC power for mobile mining equipment', Proceedings of 2014 IEEE Industry Applications Society Annual Meeting, Vancouver, BC, Canada (2014) [E1]
DOI 10.1109/IAS.2014.6978455
Citations Scopus - 4
Co-authors Steve Mitchell, Galina Mirzaeva
Show 3 more conferences
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Grants and Funding

Summary

Number of grants 3
Total funding $116,312

Click on a grant title below to expand the full details for that specific grant.


20172 grants / $101,312

Research and development of a hybrid diesel / electric boat prototype$51,312

Funding body: Stebercraft Pty Ltd

Funding body Stebercraft Pty Ltd
Project Team Doctor Galina Mirzaeva, Doctor Mohsen Ghaffarpour, Dr Steven Mitchell
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1701280
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

To develop a hybrid diesel / electric boat prototype$50,000

Funding body: Department of Industry, Innovation and Science

Funding body Department of Industry, Innovation and Science
Project Team Doctor Galina Mirzaeva, Doctor Mohsen Ghaffarpour, Dr Steven Mitchell
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1701349
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON Y

20161 grants / $15,000

Multiport DC/DC Converter for Renewable Energy Application$15,000

Funding body: ResTech

Funding body ResTech
Project Team

Galina Mirzaeva

Scheme Postgraduate Research Scholarship
Role Lead
Funding Start 2016
Funding Finish 2017
GNo
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON N
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Australia 10
United States 1
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Dr Mohsen Ghaffarpour

Positions

Research Academic
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Casual Academic
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Casual Academic
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Focus area

Electrical and Computer Engineering

Contact Details

Email mohsen.ghaffarpour@newcastle.edu.au
Phone (02) 4913 8755

Office

Room EE G04
Building EE Building
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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