Ali Pourmousavi Kani

Dr Ali Pourmousavi Kani,Ali Pourmousavi Kani

Lecturer

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

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.

If you have:
- a Master's degree with a minimum of three journal papers in Q1 venues,
or
- a Bachelor's degree with first-class honour from accredited universities
and
- background in stochastic modelling and control, optimisation, artificial intelligence, and/or time series analysis
and
you are interested to work on exciting and innovative research in the area of power systems and electricity market, please send me an email.

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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, A Institute of Electrical and Electronics Engineers United States
    2016 Internet of Things (IoT): Roadmap to Connected Wor Massachusetts Institute of Technology (MIT) United States
    2016 Managing Chaos American Management Association United States
    2015 Essentials of Project Management for Non-Project M 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
    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.
    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 WoS1
    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 Scopus48 WoS39
    2018 Pourmousavi Kani, S., Wild, P., & Saha, T. (2018). Improving Predictability of Renewable Generation through Optimal Battery Sizing. IEEE Transactions on Sustainable Energy, 11 pages.
    DOI
    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 Scopus3 WoS1
    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 Scopus8
    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 Scopus5 WoS5
    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 Scopus49 WoS43
    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 Scopus86 WoS71
    2014 Pourmousavi, S., & Nehrir, M. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
    DOI Scopus78 WoS66
    2012 Pourmousavi, S., & Nehrir, M. (2012). Real-time central demand response for primary frequency regulation in microgrids. IEEE Transactions on Smart Grid, 3(4), 1988-1996.
    DOI Scopus156 WoS136
    2011 Kani, S., Riahy, G., & 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 Scopus12 WoS11
    2011 Pourmousavi Kani, S., & Ardehali, 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 Scopus125 WoS108
    2010 Pourmousavi, S., Nehrir, M., Colson, C., & 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 Scopus116 WoS87
    — Azim, M. I., Pourmousavi, S. A., Tushar, W., & Saha, T. K. (n.d.). Feasibility Study of Financial P2P Energy Trading in a Grid-tied Power
    Network.

  • Book Chapters
    Year Citation
    2019 Pourmousavi Kani, S., Shahnia, F., Azim, M. I., Shoeb, M. A., & Shafiullah, G. M. (2019). Microgrid control overview. In S. M. Muyeen, S. Mofizul Islam, & F. Blaabjerg (Eds.), Variability, Scalability and Stability of Microgrids (1 ed., pp. 15-71). IET.
    DOI

  • Conference Papers
    Year Citation
    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
    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 Scopus7
    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 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 Scopus1
    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 Scopus2
    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 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 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 Scopus3
    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 Scopus7 WoS5
    2013 Marchese, K., Pourmousavi, S., & Nehrir, M. (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 Scopus6 WoS1
    2012 Pourmousavi, S., Sharma, R., & 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 Scopus25
    2012 Litchy, A., Young, C., Pourmousavi, S., & Nehrir, M. (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.
    DOI Scopus9
    2012 Pourmousavi, S., Cifala, A., & Nehrir, M. (2012). Impact of high penetration of PV generation on frequency and voltage in a distribution feeder. In 2012 North American Power Symposium, NAPS 2012.
    DOI Scopus14
    2012 Pourmousavi, S., & Nehrir, M. (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).
    DOI
    2011 Pourmousavi, S., & Nehrir, M. (2011). Demand response for smart microgrid: Initial results. In IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe.
    DOI Scopus28
    2011 Pourmousavi, S., Nehrir, M., & Sastry, C. (2011). Providing ancillary services through demand response with minimum load manipulation. In NAPS 2011 - 43rd North American Power Symposium.
    DOI Scopus17
    2010 Colson, C., Nehrir, M., & Pourmousavi, S. (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 Scopus56 WoS4
    2008 Pourmousavi Kani, S., & Riahy, G. (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 Scopus41 WoS1
    2007 Kani, S., & Ershad, N. (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).
    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.
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  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    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 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, Faculty of Engineering Computer & Math Sciences
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