
Dr Ali Pourmousavi Kani
Lecturer
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 through different possibilities to support your request.
About me
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
-
Appointments
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 -
Education
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 -
Certifications
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 -
Research Interests
-
Journals
Year Citation 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, 112605.
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, 108366.
2021 Pourmousavi Kani, S. (2021). Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Systems Journal, 15(4), 5267.
Scopus7 WoS42021 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.
Scopus2 WoS12021 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.
Scopus6 WoS32020 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.
Scopus8 WoS72019 De Zotti, G., Pourmousavi, S., Morales, J., Madsen, H., & Poulsen, N. (2019). Consumers' Flexibility Estimation at the TSO Level for Balancing Services. IEEE Transactions on Power Systems, 34(3), 1918-1930.
Scopus13 WoS112019 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.
Scopus7 WoS42018 Pourmousavi, S., & Saha, T. (2018). Evaluation of the battery operation in ramp-rate control mode within a PV plant: A case study. Solar Energy, 166, 242-254.
Scopus7 WoS72018 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.
Scopus27 WoS232018 Marzband, M., Javadi, M., Pourmousavi, S., & 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.
Scopus86 WoS752018 Pourmousavi Kani, S., Wild, P., & Saha, T. (2018). Improving Predictability of Renewable Generation through Optimal Battery Sizing. IEEE Transactions on Sustainable Energy, 11(1), 11 pages.
Scopus14 WoS112016 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.
Scopus13 WoS112015 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.
Scopus70 WoS622014 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.
Scopus120 WoS1002014 Pourmousavi, S., & Nehrir, M. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
Scopus121 WoS1042012 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.
Scopus211 WoS1782011 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.
Scopus15 WoS152011 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.
Scopus155 WoS1372010 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.
Scopus169 WoS131Yuan, 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
generation forecast.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. -
Book Chapters
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).
Scopus2 -
Conference Papers
Year Citation 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.
Scopus1 WoS12019 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.
Scopus12019 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.
Scopus212018 Vardanyan, Y., Banis, F., Pourmousavi, S., & 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.
Scopus17 WoS22018 De Zotti, G., Pourmousavi, S., Madsen, H., & Poulsen, N. (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.
Scopus12018 Mehedi Hasan, M., Ali Pourmousavi, S., Bai, F., & Saha, T. (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.
Scopus42018 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.
Scopus4 WoS32016 Pourmousavi, S., Asghari, B., & Sharma, R. (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.
Scopus12016 Mohan, S., Hooshmand, A., Pourmousavi, S., & 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.
Scopus22016 Pourmousavi, S., Behrangrad, M., Nehrir, M., & Ardakani, A. (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.
Scopus14 WoS12014 Kordkheili, R., Pourmousavi, S., Pillai, J., Hasanien, H., Bak-Jensen, B., & Nehrir, M. (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.
Scopus8 WoS52013 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.
Scopus10 WoS22012 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.
Scopus312012 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.
Scopus112012 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.
Scopus212012 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.
Scopus372011 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.
Scopus192010 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.
Scopus71 WoS72008 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.
Scopus50 WoS22007 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.
Scopus4 -
Conference Items
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 |
Courses Summary
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 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
Connect With Me
External Profiles