Outputs (6)

Design of an LISN for Low-Frequency Conducted Emissions Measurement (2024)
Journal Article
Wan, L., Khilnani, A. D., Wu, X., Liu, X., Pignari, S. A., Thomas, D. W., Sumner, M., & Grassi, F. (2024). Design of an LISN for Low-Frequency Conducted Emissions Measurement. IEEE Transactions on Electromagnetic Compatibility, https://doi.org/10.1109/TEMC.2024.3510390

In this article, a line impedance stabilization network (LISN) with frequency bandwidth extended down to 2 kHz is designed, to address low-frequency measurement not currently aligned by the IEC and CISPR standards. For instance, different evaluation... Read More about Design of an LISN for Low-Frequency Conducted Emissions Measurement.

Self-Resonance in Ortho-Cyclical Multilayer Air-Core Inductors: Analytical Techniques and Optimization (2024)
Journal Article
Khilnani, A. D., Wan, L., Seeley, D. R., Sumner, M., Thomas, D. W., & Grassi, F. (2025). Self-Resonance in Ortho-Cyclical Multilayer Air-Core Inductors: Analytical Techniques and Optimization. IEEE Transactions on Electromagnetic Compatibility, 67(1), 128-138. https://doi.org/10.1109/temc.2024.3452495

A multilayer air-core inductor's operational frequency limit can be known beforehand if its first self-resonance frequency can be predicted. The self-resonance frequency is due to the electrostatic capacitance stored between the turns and layers of t... Read More about Self-Resonance in Ortho-Cyclical Multilayer Air-Core Inductors: Analytical Techniques and Optimization.

Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications (2024)
Journal Article
Zhang, L., Wilson, R., Sumner, M., & Wu, Y. (2025). Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications. Applied Energy, 377, Article 124353. https://doi.org/10.1016/j.apenergy.2024.124353

Over the past decade, the rapid growth of solar energy penetration has posed significant challenges for grid balancing and scheduling, heightening the need for accurate and efficient short-term solar forecasting. While deep learning models have shown... Read More about Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications.

Successive approximation based phase-locked loop (2024)
Presentation / Conference Contribution
Njoroge, E. M., Hidayatullah, N. A., Sumner, M., & You, M. (2024, June). Successive approximation based phase-locked loop. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Most grid-connected converters are configured in grid following (GFL) mode where they are designed to follow the grid voltage and inject a current specific to the required power. GFL requires phase-locked loops (PLLs) to monitor the phase angle and a... Read More about Successive approximation based phase-locked loop.

Double-ended Fault Location Method with Reduced Measurements (2024)
Presentation / Conference Contribution
Jahanger, H., Robson, S., Haddad, M., & Sumner, M. (2023, July). Double-ended Fault Location Method with Reduced Measurements. Presented at Cardiff University Engineering Research Conference 2023, Cardiff, Wales

The double-ended impedance-based fault location Method (DEFLM) uses the wideband frequency content of the transient generated by the fault to determine the impedance from the point of measurement to the fault. This work evaluates the use of DEFLM in... Read More about Double-ended Fault Location Method with Reduced Measurements.

Extended Horizon Predictive Control for Software Defined Networked Microgrids (2024)
Preprint / Working Paper
Pérez Guzmán, R., Rivera, M., Araya, B., Gόmez, J. S., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2024). Extended Horizon Predictive Control for Software Defined Networked Microgrids

This paper presents a model-based predictive control implementation (FCS-MPC) with extended horizon prediction to address the resiliency problem and voltage/frequency deviations for hierarchical microgrids. The proposed framework integrates Software-... Read More about Extended Horizon Predictive Control for Software Defined Networked Microgrids.