School of Electrical and Electronic Engineering
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Prospective HDRs and Postdocs
If you are looking for a research position in my group, whether a PhD scholarship or a hosting university for your sabbatical leave or a supporting institute for your home country scholarship, please check out the Prospective HDRs/Postdocs page before you send me an email. I created this simple tool to help you navigate different possibilities to support your request.
Current major projects
1. Assessment, design and operation of battery-supported electric mining vehicles and machinery", known as "Mine Operational Vehicles Electrification (MOVE)"
About the project: In this project, we will provide the Australian mining industry with the tools and information needed to help transition their operations to using battery-supported electric vehicles (BEVs) and associated stationary machinery on mine sites. The Project will enable the resources sector to reduce costs and improve the reliability of energy, improve occupational health and safety (OHS), and reduce the carbon footprint of production.
Project partners: BHP Nickel West, IGO Limited, Energetics Pty Ltd, Allkem, Multicom Resources Limited, the South Australian Department for Energy and Mining (DEM), Queensland’s Department of Energy and Public Works (DEPW), the Minerals Research Institute of Western Australia (MRIWA) and the University of Western Australia
2. Flexible Aggregator Simulation Platform (FRESNO)
About the project: This project aims to create a platform to simulate, test and verify advanced smart grid operation mechanisms at the distribution level. It is a revolutionary platform that facilitates studying larger amounts of renewable integration into the grid to provide a secure environment for larger adoption of electric vehicles by avoiding the excessive capital cost of grid upgrade.
Project partners: Watts from Denmark
More detail: my personal website
BSc, MSc, and PhD with first-class honours in Power Systems Engineering
IEEE Senior Member
My research interests are optimal stationery and mobile battery storage sizing, operation, and aggregation for power system applications and Ancillary Services through demand response for the future smart grid. We use advanced optimisation techniques, time series analysis, and artificial intelligence (AI) to solve existing and upcoming issues in the power systems' operation at the transmission and distribution levels.
My Research at a Glance
Date Position Institution name 2017 - 2019 Research Fellow University of Queensland 2017 - 2017 Postdoc Technical University of Denmark 2014 - 2016 Researcher NEC Laboratories America Inc. 2014 - 2014 Power Systems Engineering Specialist California ISO 2011 - 2011 Research Intern NEC Laboratories America Inc.
Awards and Achievements
Date Type Title Institution Name Country Amount 2021 Award 5th place in the IEEE-CIS technical challenge IEEE Australia USD1000 2019 Invitation Invited Guest Researcher Technical University of Denmark Denmark 2015 Award Spot Recognition NEC Laboratories America United States 2015 Award Spot Recognition NEC Laboratories America United States 2014 Award Don Pierre Graduate Student Publication Montana State University United States 2011 Award Don Pierre Graduate Student Publication Montana State University United States
Date Institution name Country Title 2009 - 2014 Montana State University United States PhD 2005 - 2008 Amirkabir University of Technology Iran MSc 2001 - 2005 University of Mazandaran Iran BSc
Date Title Institution name Country 2018 Advanced Data Analytics for Energy Systems INESC Technology and Science Portugal 2018 Research Data Science Winter School Australian Academy of Science Australia 2016 Energy Storage: An introduction to Technologies, Applications and Best Practices Institute of Electrical and Electronics Engineers United States 2016 Internet of Things (IoT): Roadmap to Connected World Massachusetts Institute of Technology (MIT) United States 2016 Managing Chaos American Management Association United States 2015 Essentials of Project Management for Non-Project Manager American Management Association United States
Year Citation 2023 Banaei, M., D’Ettorre, F., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., & Madsen, H. (2023). A stochastic methodology to exploit maximum flexibility of swimming pool heating systems. International Journal of Electrical Power & Energy Systems, 145, 108643.
2022 D'Ettorre, F., Banaei, M., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., Kowalski, J., . . . Madsen, H. (2022). Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective. Renewable and Sustainable Energy Reviews, 165, 21 pages.
DOI Scopus1 WoS1
2022 Karimi-Arpanahi, S., Jooshaki, M., Pourmousavi, S. A., & Lehtonen, M. (2022). Leveraging the flexibility of electric vehicle parking lots in distribution networks with high renewable penetration. International Journal of Electrical Power and Energy Systems, 142, 12 pages.
2021 Pourmousavi Kani, S. (2021). Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Systems Journal, 15(4), 5267.
DOI Scopus7 WoS6
2021 Akram, U., Mithulananthan, N., Shah, R., & Pourmousavi, S. A. (2021). Sizing HESS as inertial and primary frequency reserve in low inertia power system. IET RENEWABLE POWER GENERATION, 15(1), 15 pages.
DOI Scopus2 WoS1
2021 Bagheri Tookanlou, M., Pourmousavikani, S. A., & Marzband, M. (2021). An Optimal Day-Ahead Scheduling Framework for E-Mobility Ecosystem Operation with Drivers Preferences. IEEE Transactions on Power Systems, 36(6), 1.
2021 Tookanlou, M. B., Ali Pourmousavi Kani, S., & Marzband, M. (2021). A comprehensive day-ahead scheduling strategy for electric vehicles operation. International Journal of Electrical Power and Energy Systems, 131, 106912-1-106912-17.
DOI Scopus7 WoS4
2020 Hasan, M. M., Pourmousavi Kani, S., Jahanbani Ardakani, A., & Saha, T. K. (2020). A data-driven approach to estimate battery cell temperature using a nonlinear autoregressive exogenous neural network model. Journal of Energy Storage, 32, 11 pages.
DOI Scopus10 WoS9
2019 De Zotti, G., Pourmousavi, S. A., Morales, J. M., Madsen, H., & Poulsen, N. K. (2019). Consumers' Flexibility Estimation at the TSO Level for Balancing Services. IEEE Transactions on Power Systems, 34(3), 1918-1930.
DOI Scopus16 WoS12
2019 De Zotti, G., Pourmousavi Kani, S., Morales, J. M., Madsen, H., & Poulsen, N. K. (2019). A Control-based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users. IEEE Transactions on Power Systems, 35(3), 1868-1880.
DOI Scopus10 WoS6
2018 Pourmousavi, S. A., & Saha, T. K. (2018). Evaluation of the battery operation in ramp-rate control mode within a PV plant: A case study. Solar Energy, 166, 242-254.
DOI Scopus8 WoS8
2018 De Zotti, G., Pourmousavi, S., Madsen, H., & Kjolstad Poulsen, N. (2018). Ancillary Services 4.0: A Top-To-Bottom Control-Based Approach for Solving Ancillary Services Problems in Smart Grids. IEEE Access, 6, 11694-11706.
DOI Scopus28 WoS25
2018 Marzband, M., Javadi, M., Pourmousavi, S. A., & Lightbody, G. (2018). An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory. Electric Power Systems Research, 157, 187-199.
DOI Scopus95 WoS81
2018 Pourmousavi Kani, S. A., Wild, P., & Saha, T. K. (2018). Improving Predictability of Renewable Generation through Optimal Battery Sizing. IEEE Transactions on Sustainable Energy, 11(1), 11 pages.
DOI Scopus17 WoS14
2016 Kordkheili, R., Pourmousavi, S., Savaghebi, M., Guerrero, J., & Nehrir, M. (2016). Assessing the potential of plug-in electric vehicles in active distribution networks. Energies, 9(1), 34.
DOI Scopus13 WoS11
2015 Pourmousavi, S., Nehrir, M., & Sharma, R. (2015). Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response. IEEE Transactions on Smart Grid, 6(3), 1185-1195.
DOI Scopus72 WoS64
2014 Pourmousavi, S., Patrick, S., & Nehrir, M. (2014). Real-time demand response through aggregate electric water heaters for load shifting and balancing wind generation. IEEE Transactions on Smart Grid, 5(2), 769-778.
DOI Scopus123 WoS103
2014 Pourmousavi, S., & Nehrir, M. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
DOI Scopus125 WoS111
2012 Pourmousavi, S. A., & Nehrir, M. H. (2012). Real-time central demand response for primary frequency regulation in microgrids. IEEE Transactions on Smart Grid, 3(4), 1988-1996.
DOI Scopus216 WoS182
2011 Kani, S. A. P., Riahy, G. H., & Mazhari, D. (2011). An innovative hybrid algorithm for very short-term wind speed prediction using linear prediction and Markov chain approach. International Journal of Green Energy, 8(2), 147-162.
DOI Scopus16 WoS15
2011 Pourmousavi Kani, S. A., & Ardehali, M. M. (2011). Very short-term wind speed prediction: A new artificial neural network-Markov chain model. Energy Conversion and Management, 52(1), 738-745.
DOI Scopus160 WoS141
2010 Pourmousavi, S. A., Nehrir, M. H., Colson, C. M., & Wang, C. (2010). Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization. IEEE Transactions on Sustainable Energy, 1(3), 193-201.
DOI Scopus173 WoS136
Yuan, R., Pourmousavi, S. A., Soong, W. L., Nguyen, G., & Liisberg, J. A. R. (n.d.). IRMAC: Interpretable Refined Motifs and Binary Classification for
Rooftops PV Owners.
Tookanlou, M. B., Pourmousavi, S. A., & Marzband, M. (n.d.). Three-Layer Joint Distributionally Robust Chance-Constrained Framework
for Optimal Day-Ahead Scheduling of E-mobility Ecosystem.
Yuan, R., Dinh, N. T., Pipada, Y., & Pourmouasvi, S. A. (n.d.). Optimal activity and battery scheduling algorithm using load and solar
Lemos-Vinasco, J., Schledorn, A., Pourmousavi, S. A., & Guericke, D. (n.d.). Economic evaluation of stochastic home energy management systems in a
realistic rolling horizon setting.
Kumar, Y. P. S., Pourmousavi, S. A., Wagner, M., & Liisberg, J. A. R. (n.d.). Optimal offering strategy for an aggregator across multiple products of
European day-ahead market.
Year Citation 2019 Pourmousavi Kani, S., Shahnia, F., Azim, M. I., Shoeb, M. A., & Shafiullah, G. (2019). Microgrid control overview. In S. Muyeen, S. Mofizul Islam, & F. Blaabjerg (Eds.), Variability, Scalability and Stability of Microgrids (1 ed., pp. 15-71). London, United Kingdom: The Institution of Engineering and Technology (IET).
Year Citation 2022 Dinh, N. T., Pourmousavi, S. A., Karimi-Arpanahi, S., Kumar, Y. P. S., Guo, M., Abbott, D., & Liisberg, J. A. R. (2022). Optimal sizing and scheduling of community battery storage within a local market. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 34-46). ACM.
2021 Yao, Y., Ertugrul, N., & Pourmousavi Kani, S. A. (2021). Power Sharing and Voltage Regulation in Islanded DC Microgrids with Centralized Double-Layer Hierarchical Control. In 2021 31st Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-6). online: IEEE.
2020 Ertugrul, N., Kani, A. P., Davies, M., Sbarbaro, D., & Morán, L. (2020). Status of mine electrification and future potentials. In Proceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020 (pp. 151-156). online: IEEE.
2019 De Zotti, G., Guericke, D., Pourmousavi, S. A., Miguel Morales, J., Madsen, H., & Poulsen, N. K. (2019). Analysis of rebound effect modelling for flexible electrical consumers. In IFAC PAPERSONLINE Vol. 52 (pp. 6-11). online: ELSEVIER.
DOI Scopus1 WoS1
2019 Hasan, M., & Pourmousavi, S. (2019). Battery Cell Temperature Estimation Model and Cost Analysis of a Grid-Connected PV-BESS Plant. In 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 (pp. 1804-1809). online: IEEE.
2019 Azim, M. I., Pourmousavi, S., Tushar, W., & Saha, T. K. (2019). Feasibility study of financial P2P energy trading in a grid-tied power network. In Proceedings of the 2019 IEEE Power and Energy Society General Meeting (PESGM) Vol. abs/1909.04763 (pp. 1-5). Piscataway, NJ: IEEE.
2018 Vardanyan, Y., Banis, F., Pourmousavi, S. A., & Madsen, H. (2018). Optimal coordinated bidding of a profit-maximizing EV aggregator under uncertainty. In 2018 IEEE International Energy Conference, ENERGYCON 2018 (pp. 1-6). online: IEEE.
DOI Scopus17 WoS2
2018 De Zotti, G., Pourmousavi, S. A., Madsen, H., & Poulsen, N. K. (2018). Utilizing flexibility resources in the future power system operation: Alternative approaches. In 2018 IEEE International Energy Conference, ENERGYCON 2018 (pp. 1-6). online: IEEE.
2018 Mehedi Hasan, M., Ali Pourmousavi, S., Bai, F., & Saha, T. K. (2018). The impact of temperature on battery degradation for large-scale BESS in PV plant. In 2017 Australasian Universities Power Engineering Conference, AUPEC 2017 Vol. 2017-November (pp. 1-6). online: IEEE.
2018 Parandehgheibi, M., Pourmousavi, S., Nakayama, K., & Sharma, R. (2018). A two-layer incentive-based controller for aggregating BTM storage devices based on transactive energy framework. In IEEE Power and Energy Society General Meeting Vol. 2018-January (pp. 1-5). online: IEEE.
DOI Scopus4 WoS3
2016 Pourmousavi, S. A., Asghari, B., & Sharma, R. K. (2016). A novel algorithm to integrate battery Cyclic and Calendar agings within a single framework. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 (pp. 1-5). Online: IEEE.
2016 Mohan, S., Hooshmand, A., Pourmousavi, S. A., & Sharma, R. (2016). BSS sizing and economic benefit analysis in grid-scale application. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 (pp. 1-5). Online: IEEE.
2016 Pourmousavi, S. A., Behrangrad, M., Nehrir, M. H., & Ardakani, A. J. (2016). LFC model for multi-area power systems considering dynamic demand response. In Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference Vol. 2016-July (pp. 1-5). Online: IEEE.
DOI Scopus14 WoS1
2014 Kordkheili, R. A., Pourmousavi, S. A., Pillai, J. R., Hasanien, H. M., Bak-Jensen, B., & Nehrir, M. H. (2014). Optimal sizing and allocation of residential photovoltaic panels in a distribution network for ancillary services application. In 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 (pp. 681-687). Online: IEEE Computer Society.
DOI Scopus8 WoS5
2013 Marchese, K., Pourmousavi, S. A., & Nehrir, M. H. (2013). The application of demand response for frequency regulation in an islanded microgrid with high penetration of renewable generation. In 45th North American Power Symposium, NAPS 2013 (pp. 6 pages). Kansas State Univ, Manhattan, KS: IEEE.
DOI Scopus10 WoS2
2012 Pourmousavi, S. A., Sharma, R. K., & Asghari, B. (2012). A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy. In 2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012 (pp. 1-8). IEEE.
2012 Litchy, A. J., Young, C., Pourmousavi, S. A., & Nehrir, M. H. (2012). Technology selection and unit sizing for a combined heat and power microgrid: Comparison of WebOpt and HOMER application programs. In 2012 North American Power Symposium, NAPS 2012. IEEE.
2012 Pourmousavi, S. A., Cifala, A. S., & Nehrir, M. H. (2012). Impact of high penetration of PV generation on frequency and voltage in a distribution feeder. In 2012 North American Power Symposium, NAPS 2012. IEEE.
2012 Pourmousavi, S. A., & Nehrir, M. H. (2012). Real-time optimal demand response for frequenc regulation in smart μgrid environment. In Proceedings of the IASTED International Conference on Power and Energy Systems, EuroPES 2012 (pp. 194-200). ACTAPRESS.
2011 Pourmousavi, S. A., & Nehrir, M. H. (2011). Demand response for smart microgrid: Initial results. In IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe. IEEE.
2011 Pourmousavi, S. A., Nehrir, M. H., & Sastry, C. (2011). Providing ancillary services through demand response with minimum load manipulation. In NAPS 2011 - 43rd North American Power Symposium. IEEE.
2010 Colson, C. M., Nehrir, M. H., & Pourmousavi, S. A. (2010). Towards real-time microgrid power management using computational intelligence methods. In IEEE PES General Meeting, PES 2010 (pp. 8 pages). Minneapolis, MN: IEEE.
DOI Scopus71 WoS7
2008 Pourmousavi Kani, S. A., & Riahy, G. H. (2008). A new ANN-based methodology for very short-term wind speed prediction using Markov chain approach. In 2008 IEEE Electrical Power and Energy Conference - Energy Innovation (pp. 566-571). Vancouver, CANADA: IEEE.
DOI Scopus50 WoS2
2007 Kani, S. A. P., & Ershad, N. F. (2007). Annual electricity demand prediction for iranian agriculture sector using ANN and PSO. In 2007 IEEE Canada Electrical Power Conference, EPC 2007 (pp. 446-451). IEEE.
Year Citation Pourmousavi, S. A., Behrangrad, M., Ardakani, A. J., & Nehrir, M. H. (n.d.). Ownership Cost Calculations for Distributed Energy Resources Using
Uncertainty and Risk Analyses. Poster session presented at the meeting of Unknown Conference.
|Date||Project/ No.||Investigators||Funding Body||Amount|
|2021-2024||Mine Mobile Fleet Electrification||Project Leader||FBICRC||~$1.16M|
|2021||Price, Cooling and Heating Demand Prediction Tools (Consultancy)||Chief Investigator||Center Denmark||~$15K|
|2021-2025||Flexibility Aggregator Simulation Platform (FRESNO)||Chief Investigator||UAiPhD and Watts, Denmark||~$550K|
|2020||Distributed Energy Resources Sizing Validation for ARENA grant (Consultancy)||Investigator||Riverina County Water Council||~$25K|
|2019||Research Infrastructure Grant||Chief Investigator||School of Electrical and Electronic Engineering, the University of Adelaide||~$36K|
|2019||PhD Scholarship Grant||Chief Investigator||startup grant at the School of Electrical and Electronic Engineering, the University of Adelaide||~$82K|
|Date||Taught||Developed||Coordinated||Course Title||Institution||Course Level/ Code||URL|
|2020-Present||X||X||X||Electricity Market and Power Systems Operation||University of Adelaide||ELEC ENG 4087-7087||Link|
|2020-Present||X||X||Electronic Circuits||University of Adelaide||ELEC ENG 2101||Link|
|2020-Present||X||Electronic Circuits M||University of Adelaide||ELEC ENG 2105||Link|
|2018||X||Electricity Market Operation and Security (Half a course)||University of Queensland||ELEC 7310||Link|
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2022 Co-Supervisor Optimal Energy Storage and Infrastructure Design and Operation for Mining's Electrified Mobile Fleet Doctor of Philosophy Doctorate Full Time Mr Sayed Nasrollah Hashemian Ataabadi 2021 Principal Supervisor UAiPhD - Flexibility Aggregator Simulation Platform (FRESNO): Prosumers Price Response Modelling (FRESNO B) Doctor of Philosophy Doctorate Full Time Mr Rui Yuan 2021 Principal Supervisor Flexible Aggregator Simulation Platform (FRESNO): Local Energy and Ancillary Services Markets (FRESNO C) Doctor of Philosophy Doctorate Full Time Mr Trong Nam Dinh 2021 Principal Supervisor Industry PhD Flexible Aggregator Simulation Platform (FRESNO): Optimal Bidding in the Wholesale and Local Markets (FRESNO A) Doctor of Philosophy Doctorate Full Time Mr Yogesh Pipada Sunil Kumar 2021 Principal Supervisor Redox Flow Battery Modelling and Energy Management Doctor of Philosophy Doctorate Full Time Mr Hao Wang 2020 Principal Supervisor A Battery Storage Sizing Optimisation Model for Improving the Profits of Renewable Plants from Participating in Electricity Markets Doctor of Philosophy Doctorate Full Time Mr Sahand Karimi-Arpanahi 2019 Co-Supervisor Investigation of Flexible Control System for Microgrids Doctor of Philosophy Doctorate Full Time Mr Yuan Yao
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2019 - ongoing External Supervisor V2G and G2V operation within local market environment Northumbria University, United Kingdom Doctorate Full Time Mahsa Bagheri Tookanlou 2019 - ongoing Co-Supervisor Artificial Intelligence for Flexible Energy Systems Operation Technical University of Denmark (DTU) Doctorate Full Time Emma Margareta Viktoria Blomgren 2019 - ongoing Co-Supervisor Aggregator role at distribution networks Technical University of Denmark (DTU) Doctorate Full Time Julian Lemos Vinasco 2019 - ongoing Co-Supervisor Storage as a source of inertia for power systems with high amount of renewable resources The University of Queensland, The University of Adelaide Doctorate Full Time Umer Akram 2017 - 2019 Co-Supervisor Thermal Modelling and Cost Analysis of Large-scale Battery Energy Storage System in a PV plant The University of Queensland Master Md Mehedi Hasan 2017 - 2019 Co-Supervisor Leveraging consumers' flexibility for the provision of ancillary services Technical University of Denmark, The University of Queensland Doctorate Full Time Giulia De Zotti
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