Select Publications

Journal articles

Silvestri L; Chen Y; Brodzeli Z; Sirojan T; Lu S; Liu Z; Phung T; Ladouceur F, 2021, 'A Novel Optical Sensing Technology for Monitoring Voltage and Current of Overhead Power Lines', IEEE Sensors Journal, vol. 21, pp. 26699 - 26707, http://dx.doi.org/10.1109/JSEN.2021.3119580

Lu S; Ma R; Sirojan T; Phung BT; Zhang D, 2021, 'Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data', International Journal of Electrical Power and Energy Systems, vol. 130, pp. 107035 - 107035, http://dx.doi.org/10.1016/j.ijepes.2021.107035

Li M; Zhang D; Lu S; Tang X; Phung T, 2021, 'Differential evolution-based overcurrent protection for DC microgrids', Energies, vol. 14, pp. 5026 - 5026, http://dx.doi.org/10.3390/en14165026

Lu S; Chai H; Sahoo A; Phung BT, 2020, 'Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review', IEEE Transactions on Dielectrics and Electrical Insulation, vol. 27, pp. 1861 - 1888, http://dx.doi.org/10.1109/TDEI.2020.009070

Lu S; Sirojan T; Phung BT; Zhang D; Ambikairajah E, 2019, 'DA-DCGAN: An Effective Methodology for DC Series Arc Fault Diagnosis in Photovoltaic Systems', IEEE Access, vol. 7, pp. 45831 - 45840, http://dx.doi.org/10.1109/ACCESS.2019.2909267

Lu S; Phung BT; Zhang D, 2018, 'A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems', Renewable and Sustainable Energy Reviews, vol. 89, pp. 88 - 98, http://dx.doi.org/10.1016/j.rser.2018.03.010

Tharmakulasingam S; Lu S; Phung BT; Zhang D; Ambikairajah E, 2018, 'Sustainable Deep Learning at Grid Edge for Real-time High Impedance Fault Detection', IEEE Transactions on Sustainable Computing, pp. 1 - 1, http://dx.doi.org/10.1109/tsusc.2018.2879960

Conference Papers

Lu S; Sahoo A; Ma R; Phung BT, 2020, 'DC Series Arc Fault Detection Using Machine Learning in Photovoltaic Systems: Recent Developments and Challenges', in Proceeding - 8th International Conference on Condition Monitoring and Diagnosis, CMD 2020, IEEE, pp. 416 - 421, presented at 2020 8th International Conference on Condition Monitoring and Diagnosis (CMD), 25 October 2020 - 28 October 2020, http://dx.doi.org/10.1109/CMD48350.2020.9287192

Sirojan T; Lu S; Phung BT; Ambikairajah E, 2019, 'Embedded Edge Computing for Real-time Smart Meter Data Analytics', in SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, http://dx.doi.org/10.1109/SEST.2019.8849012

Lu S; Chai H; Phung T; Zhang D, 2019, 'An Experimental Study of Low-Current DC Series Arc Faults for Condition Monitoring Purpose', Madrid, Spain, presented at 25th International Conference on Electricity Distribution (CIRED 2019), Madrid, Spain, 03 June 2019, http://dx.doi.org/10.34890/507

Chai H; Lu S; Phung T; Mitchell S, 2019, 'Comparative study of partial discharge localization based on uhf detection methods', in Proc. of the 25th International Conference on Electricity Distribution (CIRED 2019), AIM, Madrid, Spain, presented at 25th International Conference on Electricity Distribution (CIRED 2019), Madrid, Spain, 03 June 2019, http://dx.doi.org/10.34890/508

Sirojan T; Lu S; Phung BT; Zhang D; Ambikairajah E, 2019, 'High Impedance Fault Detection by Convolutional Deep Neural Network', in ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application, http://dx.doi.org/10.1109/ICHVE.2018.8642080

Li M; Lu S; Zhang D; Phung BT, 2018, 'Series arc fault detection in DC microgrid using hybrid detection method', in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 265 - 270, http://dx.doi.org/10.1109/IECON.2018.8592702

Lu S; Zhang D; Phung T, 2017, 'Arcing fault detection in the scenario with renewable energy generation', in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp. 6869 - 6874, http://dx.doi.org/10.1109/IECON.2017.8217201

Lu S; Phung T; Zhang D, 2017, 'Study on DC Series Arc Fault in Photovoltaic Systems for Condition Monitoring Purpose', in Universities Power Engineering Conference (AUPEC), 2017 Australasian, IEEE, Melbourne, VIC, Australia, pp. 1 - 6, presented at Australasian Universities Power Engineering Conference (AUPEC), Melbourne, VIC, Australia, 19 November 2017 - 22 November 2017, http://dx.doi.org/10.1109/AUPEC.2017.8282464

Song R; Lu S; Sirojan T; Phung BT; Ambikairajah E, 2017, 'Power quality monitoring of single-wire-earth-return distribution feeders', in International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2017 - Proceeding, Sanur, Indonesia, pp. 404 - 409, presented at 2017 International Conference on High Voltage Engineering and Power Systems (ICHVEPS), Sanur, Indonesia, 02 October 2017 - 05 October 2017, http://dx.doi.org/10.1109/ICHVEPS.2017.8225879

Theses / Dissertations

Lu S, 2021, Intelligent DC Series Arc Fault Detection using Deep Learning in Photovoltaic Systems, http://handle.unsw.edu.au/1959.4/70737


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