Higher Degree by Research Candidate
School of Electrical and Electronic Engineering
Faculty of Sciences, Engineering and Technology
I am currently a PhD candidate in the School of Electrical and Electronic Engineering at the University of Adelaide, carrying out my research under the supervision of Dr Ali Pourmousavi, Associate Professor Nesimi Ertugrul, and Dr Nariman Mahdavi (CSIRO Energy). I work on developing novel battery sizing strategies for increasing the profit of utility-scale PV/wind farms in electricity markets.
I received the BSc and MSc degrees in Electrical Engineering with a major in Power Systems from the Sharif University of Technology, Tehran, Iran, in 2016 and 2018, respectively. I have also worked as a research assistant in the Reliability and Distributed Generation Lab at the Sharif University of Technology from 2018 to 2020.
My research interests include data-driven power system analysis; power system optimisation; distribution networks; grid integration of renewable energy, electric vehicles, and energy storage.
Date Position Institution name 2018 - 2020 Research Assistant Sharif University of Technology 2017 - 2018 Teaching Assistant Sharif University of Technology
Awards and Achievements
Date Type Title Institution Name Country Amount 2021 Scholarship Granted CSIRO postgraduate supplementary scholarship for my PhD research Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australia — 2020 Scholarship Granted fully-funded PhD scholarship and tuition fee waiver University of Adelaide Australia — 2018 Achievement Ranked 1st among 2.5k participants in the Iranian Nationwide University Entrance Exam for PhD degree in Electrical Engineering -- Power Iran's Ministry of Higher Science, Research and Technology Iran, Islamic Republic of — 2016 Achievement Ranked 3rd among 30K participants in the Iranian Nationwide University Entrance Exam for MSc degrees in Electrical Engineering (all majors) Iran's Ministry of Higher Science, Research and Technology Iran, Islamic Republic of — 2012 Scholarship Received the Iran National Elite Foundation (INEF) Educational Scholarship for high academic achievements Iran National Elite Foundation (INEF) Iran, Islamic Republic of — 2012 Achievement Ranked 25th among 230K participant in the Iranian Nationwide University Entrance Exam for BSc degree Iran's Ministry of Higher Science, Research and Technology Iran, Islamic Republic of —
Language Competency English Can read, write, speak, understand spoken and peer review Persian Can read, write, speak and understand spoken
Date Institution name Country Title 2020 - 2024 University of Adelaide Australia PhD 2016 - 2018 Sharif University of Technology Iran Master of Science 2012 - 2016 Sharif University of Technology Iran Bachelor of Science
Year Citation 2021 Jooshaki, M., Karimi-Arpanahi, S., Lehtonen, M., John Millar, R., & Fotuhi-Firuzabad, M. (2021). An MILP Model for Optimal Placement of Sectionalizing Switches and Tie Lines in Distribution Networks with Complex Topologies. IEEE Transactions on Smart Grid, 12(6), 4740-4751.
2020 Karimi-Arpanahi, S., Jooshaki, M., Moein-Aghtaie, M., Fotuhi-Firuzabad, M., & Lehtonen, M. (2020). Considering forecasting errors in flexibility-oriented distribution network expansion planning using the spherical simplex unscented transformation. IET Generation, Transmission and Distribution, 14(24), 5816-5822.
DOI Scopus1 WoS1
2020 Jooshaki, M., Karimi-Arpanahi, S., Lehtonen, M., Millar, R. J., & Fotuhi-Firuzabad, M. (2020). Reliability-Oriented Electricity Distribution System Switch and Tie Line Optimization. IEEE Access, 8, 130967-130978.
DOI Scopus9 WoS9
2020 Jooshaki, M., Karimi-Arpanahi, S., Lehtonen, M., Millar, R. J., & Fotuhi-Firuzabad, M. (2020). Electricity distribution system switch optimization under incentive reliability scheme. IEEE Access, 8, 93455-93463.
DOI Scopus8 WoS8
2020 Karimi-Arpanahi, S., Jooshaki, M., Moeini-Aghtaie, M., Abbaspour, A., & Fotuhi-Firuzabad, M. (2020). Incorporating flexibility requirements into distribution system expansion planning studies based on regulatory policies. International Journal of Electrical Power and Energy Systems, 118, 9 pages.
DOI Scopus7 WoS6
Year Citation 2020 Karimi-Arpanahi, S., Jooshaki, M., Fotuhi-Firuzabad, M., & Lehtonen, M. (2020). Flexibility-Oriented Collaborative Planning Model for Distribution Network and EV Parking Lots Considering Uncertain Behaviour of EVs. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. IEEE.
2019 Karimi-Arpanahi, S., Jooshaki, M., Moeini-Aghtaei, M., Abbaspour, A., & Fotuhi-Firuzabad, M. (2019). A Flexibility-Oriented Model for Distribution System Expansion Planning Studies. In ICEE 2019 - 27th Iranian Conference on Electrical Engineering (pp. 737-741). Yazd Univ, Yazd, IRAN: IEEE.
DOI Scopus4 WoS2
2018 Mirzapour, O., Karimi-Arpanahi, S., & Oraee, H. (2018). Evaluating Grid Harmonics Effect on Induction Motor Using Reduced Thermal Model. In Proceedings - 2018 Smart Grid Conference, SGC 2018 (pp. 339-+). Univ Kurdistan, Sanandaj, IRAN: IEEE.
2018 Mirzapour, O., & Arpanahi, S. K. (2018). Photovoltaic parameter estimation using heuristic optimization. In 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation, KBEI 2017 Vol. 2018-January (pp. 0792-0797). Iran Univ Sci & Technol, Tehran, IRAN: IEEE.
DOI Scopus1 WoS1
Marker, Lab Demonstrator, and Workshop Supervisor at The University of Adelaide:
- "Electric Energy Conversion" course (2nd-year course) in the first semester of 2022
- "Power Quality and Condition Monitoring" course (4th-year course) in the first semester of 2022
Teaching Assistant (Tutoring and marking) at Sharif University of Technology:
- "Distributed Generation Technologies" course (postgraduate course) in fall 2017-18 semester
- "Electrical Energy Generation Systems" course in spring 2017-18 semester
Lab Teaching Assistant (Demonstrating and marking) at Sharif University of Technology:
"Electrical Energy Conversion" course in spring 2016-17 semester
Date Topic Location Name 2021 - ongoing What insights we can get from the PV generation time-series? The University of Adelaide Zonghao Li
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