Trong Nam Dinh

Trong Nam Dinh

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology

I am currently a PhD student in the School of Electrical and Electronic Engineering at the University of Adelaide, where I also received my Bachelor of Engineering and Honours degree in 2020. My research is funded by Watts A/S under the supervision of Dr Ali Pourmousavi, Prof Derek Abbott and Dr Mingyu Guo.

My research focus is on electricity aggregators, community battery storage and local market in distribution networks.

My research focuses on investigating multiple business models for an aggregator in a local electricity market that is equipped with community battery storage. The final outcome can greatly increase the financial benefits of both the aggregator and the local electricity consumers within the community. Moreover, in order to accurately model the conflicting interests between the stakeholders, the market is formulated using game-theoretic concept.

  • Journals
    Year Citation
    2024 Dinh, N. T., Karimi-Arpanahi, S., Yuan, R., Pourmousavi, S. A., Guo, M., Liisberg, J. A. R., & Lemos-Vinasco, J. (2024). Modelling Irrational Behaviour of Residential End Users Using Non-Stationary Gaussian Processes. IEEE Transactions on Smart Grid, abs/2309.09012, 1.
    DOI
    2024 Cornell, C., Dinh, N. T., & Pourmousavi, S. A. (2024). A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. International Journal of Forecasting, abs/2311.07289.
    DOI
    2023 Dinh, N. T., Karimi-Arpanahi, S., Yuan, R., Pourmousavi, S. A., Guo, M., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). Modelling Irrational Behaviour of Residential End Users using
    Non-Stationary Gaussian Processes.
    2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2023). On the Financial Consequences of Simplified Battery Sizing Models
    without Considering Operational Details.
    2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., & Liisberg, J. A. R. (2023). Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework. IEEE Transactions on Energy Markets, Policy and Regulation, 1(4), 536-548.
    DOI

  • Conference Papers
    Year Citation
    2022 Kumar, Y. P. S., Yuan, R., Dinh, N. T., & Pourmousavi, S. A. (2022). Optimal activity and battery scheduling algorithm using load and solar generation forecasts. In 2022 32nd Australasian Universities Power Engineering Conference (AUPEC) Vol. abs/2210.12990 (pp. 1-6). Adelaide, SA. Aust: IEEE.
    DOI
    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). Online: ACM.
    DOI Scopus3 WoS2

  • Preprint
    Year Citation
    2023 Cornell, C., Dinh, N. T., & Pourmousavi, S. A. (2023). A probabilistic forecast methodology for volatile electricity prices in
    the Australian National Electricity Market.
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