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,
- a Bachelor's degree with first-class honour from accredited universities
- background in stochastic modelling and control, optimisation, artificial intelligence, and/or time series analysis
you are interested to work on exciting and innovative research in the area of power systems and electricity market, please send me an email.
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 —
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, 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
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
2011 Pourmousavi, S., & Nehrir, M. (2011). Demand response for smart microgrid: Initial results. In IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe.
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.
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).
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.
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
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