Ali Pourmousavi Kani

Dr Ali Pourmousavi Kani

Lecturer

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences

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.

 

Two PhD positions are available with the FBICRC Mine Electrification project

We have two PhD positions with the mine electrification project, funded by the Future Battery Industries Cooperative Research Centre in collaboration with BHP Nickel West, IGO Limited, Energetics Pty Ltd, Galaxy Resources Limited, 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.

PhD position 1: Link

PhD position 2: Link

 

Watts Women in Power Engineering Scholarship
2 scholarships for 12 weeks this summer - only female students are eligible

Do you like to work with us for 12 weeks this summer on an interesting industry-led (Watts, Denmark) research project? We have two scholarships available as a part of the ASRS scheme. 

Project title: Can the Motif Discovery method help us to classify residential electricity consumers?

Project description: Being able to classify residential electricity consumers based on their behind-the-meter (BTM) technologies is critical to the intelligent planning and operation of distribution network service providers (DNSP), electricity retailers and future businesses such as flexibility aggregation. This research study intends to use variations of the Motif Discovery method to classify consumers based on their demand profile without any other prior knowledge. We want to build a multi-label classification tool to identify users with various BTM technologies. In addition, we want to try different variations to the original Motif Discovery hoping to improve the accuracy of the classification method. You get a chance to work with the FRESNO team and the industry partner for 12 weeks along with another ASRS female student. A good understanding of statistics and a knowledge of programming in Python are required. Only Masters with coursework or third/fourth-year UG Female students are eligible to apply.

Please contact me directly if you are interested. You can submit an application online. See more at https://ecms.adelaide.edu.au/study-with-us/prizes-and-scholarships/summer-research-scholarships 

 

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

Research on Flexibility AggregationResearch on MicrogridResearch on Electricity Market

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  • 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
    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
    Energy Generation, Conversion and Storage Engineering Hybrid Vehicles and Powertrains Power and Energy Systems Engineering Renewable Power
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  • Journals
    Year Citation
    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), 99-113.
    DOI WoS1
    2021 Bagheri Tookanlou, M., Pourmousavi, S. A., & Marzband, M. (2021). An Optimal Day-Ahead Scheduling Framework for E-Mobility Ecosystem Operation with Drivers Preferences. IEEE Transactions on Power Systems, 1.
    DOI
    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
    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 Scopus3 WoS3
    2020 Mirzaei, M. A., Nazari-Heris, M., Mohammadi-Ivatloo, B., Zare, K., Marzband, M., & Pourmousavi, S. A. (2020). Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Systems Journal, 1-10.
    DOI
    2019 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.
    DOI Scopus7 WoS4
    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 Scopus5 WoS2
    2018 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.
    DOI Scopus79 WoS69
    2018 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.
    DOI Scopus9 WoS6
    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 Scopus23 WoS20
    2018 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.
    DOI Scopus6 WoS5
    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 Scopus12 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 Scopus64 WoS59
    2014 Pourmousavi, S., & Nehrir, M. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
    DOI Scopus109 WoS91
    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 Scopus110 WoS93
    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 Scopus203 WoS171
    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 Scopus151 WoS134
    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 Scopus15 WoS15
    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 Scopus151 WoS121
    — 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.

  • 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).
    DOI Scopus2

  • Conference Papers
    Year Citation
    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.
    DOI
    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
    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.
    DOI Scopus1
    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.
    DOI Scopus14
    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 Scopus3 WoS2
    2018 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.
    DOI Scopus4
    2018 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.
    DOI Scopus1
    2018 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.
    DOI Scopus12 WoS2
    2016 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.
    DOI Scopus1
    2016 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.
    DOI Scopus13 WoS1
    2016 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.
    DOI Scopus2
    2014 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.
    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 Scopus9 WoS1
    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.
    DOI
    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.
    DOI Scopus18
    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.
    DOI Scopus9
    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.
    DOI Scopus28
    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.
    DOI Scopus17
    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.
    DOI Scopus35
    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 Scopus69 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 Scopus45 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.
    DOI 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
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  • 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 Part 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
  • Position: Lecturer
  • Phone: 83138311
  • Email: a.pourm@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 3
  • Room: 3 55
  • Org Unit: School of Electrical and Electronic Engineering
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