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A Peer to Peer Energy Management System for Community Microgrids in The Presence of Renewable Energy and Storage Systems (2020)
Presentation / Conference Contribution
Elkazaz, M. H., Sumner, M., Pholboon, S., & Thomas, D. (2020, December). A Peer to Peer Energy Management System for Community Microgrids in The Presence of Renewable Energy and Storage Systems. Presented at The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020), Online Conference

This paper presents a procedure for the optimal economic scheduling of energy in community microgrids (CMGs) in the presence of renewable energy resources and energy storage systems. The proposed energy management system minimizes the daily operating... Read More about A Peer to Peer Energy Management System for Community Microgrids in The Presence of Renewable Energy and Storage Systems.

Z-domain modeling of peak current mode control for full-bridge DC-DC buck converters (2020)
Journal Article
Wang, X., Huang, Q., Zhang, B., Chen, D., & Guan, Q. (2021). Z-domain modeling of peak current mode control for full-bridge DC-DC buck converters. Journal of Power Electronics, 21(1), 27–37. https://doi.org/10.1007/s43236-020-00157-w

Traditional local-averaged state-space modeling for peak current mode (PCM) controls fails to explain the subharmonic oscillation phenomenon when the spectrum is higher than half of the switching frequency. To address this problem, this paper present... Read More about Z-domain modeling of peak current mode control for full-bridge DC-DC buck converters.

A Model-Data-Hybrid-Driven Diagnosis Method for Open-Switch Faults in Power Converters (2020)
Journal Article
Li, Z., Gao, Y., Zhang, X., Wang, B., & Ma, H. (2020). A Model-Data-Hybrid-Driven Diagnosis Method for Open-Switch Faults in Power Converters. IEEE Transactions on Power Electronics, 36(5), 4965-4970. https://doi.org/10.1109/TPEL.2020.3026176

To combine the advantages of both model-driven and data-driven methods, this article proposes a model-data-hybrid-driven method to diagnose open-switch faults in power converters. This idea is based on the explicit analytical model of converters and... Read More about A Model-Data-Hybrid-Driven Diagnosis Method for Open-Switch Faults in Power Converters.

Neural Network Based Model Predictive Controllers for Modular Multilevel Converters (2020)
Journal Article
Wang, S., Dragicevic, T., Gao, Y., & Teodorescu, R. (2021). Neural Network Based Model Predictive Controllers for Modular Multilevel Converters. IEEE Transactions on Energy Conversion, 36(2), 1562-1571. https://doi.org/10.1109/TEC.2020.3021022

Modular multilevel converter (MMC) has attracted much attention for years due to its good performance in harmonics reduction and efficiency improvement. Model predictive control (MPC) based controllers are widely adopted for MMC because the control d... Read More about Neural Network Based Model Predictive Controllers for Modular Multilevel Converters.

A 3D-space vector modulation-based sensorless speed control of a fault-tolerant PMSMs fed by 27-level inverter (2020)
Journal Article
Saleh, K., & Sumner, M. (2020). A 3D-space vector modulation-based sensorless speed control of a fault-tolerant PMSMs fed by 27-level inverter. International Journal of Electronics, 108(5), 1-21. https://doi.org/10.1080/00207217.2020.1793415

This paper exhibits a novel technique to obtain a sensorless control of a permanent magnet synchronous motor post an open-circuit fault condition to achieve a maximum reliability of the whole drive system. The contribution of this work can be express... Read More about A 3D-space vector modulation-based sensorless speed control of a fault-tolerant PMSMs fed by 27-level inverter.

Thermal Design of an Integrated Inductor for 45kW Aerospace Starter-Generator (2020)
Presentation / Conference Contribution
La Rocca, A., Khowja, M. R., Vakil, G., Gerada, C., Wheeler, P., & Yan, L. (2020, June). Thermal Design of an Integrated Inductor for 45kW Aerospace Starter-Generator. Presented at ITEC 2020 IEEE Transportation Electrification Conference and Expo, Chicago, Illinois, USA (held online)

This paper presents a combined electromagnetic and thermal design of integrated inductor, for the application of a 45kW aircraft starter-generator. The inductor is designed at high current density by using the apporach ofarea product, followed by the... Read More about Thermal Design of an Integrated Inductor for 45kW Aerospace Starter-Generator.

New Three-Phase Current Reconstruction for PMSM Drive With Hybrid Space Vector Pulsewidth Modulation Technique (2020)
Journal Article
Wang, W., Yan, H., Xu, Y., Zou, J., Zhang, X., Zhao, W., Buticchi, G., & Gerada, C. (2021). New Three-Phase Current Reconstruction for PMSM Drive With Hybrid Space Vector Pulsewidth Modulation Technique. IEEE Transactions on Power Electronics, 36(1), 662-673. https://doi.org/10.1109/tpel.2020.2997986

Current sensing techniques with reduced number of sensors attract a high interest from industry, for the possibility of cost reduction and sampling mismatch reduction. This article puts forward a new single current sensor (SCS) method for a permanent... Read More about New Three-Phase Current Reconstruction for PMSM Drive With Hybrid Space Vector Pulsewidth Modulation Technique.

Rotor Eddy Current Loss and Multiphysics Fields Analysis for a High-Speed Permanent Magnet Machine (2020)
Journal Article
Zhang, Y., Wang, H., & Gerada, C. (2021). Rotor Eddy Current Loss and Multiphysics Fields Analysis for a High-Speed Permanent Magnet Machine. IEEE Transactions on Industrial Electronics, 68(6), 5100-5111. https://doi.org/10.1109/tie.2020.2988192

High-speed permanent magnet machine (HSPMM) design is considered with particular attention paid to machine electromagnetic, thermal, and mechanical analyses. In this article, a 140-kW, 15 000 r/min HSPMM is designed with its power losses evaluated at... Read More about Rotor Eddy Current Loss and Multiphysics Fields Analysis for a High-Speed Permanent Magnet Machine.

Machine Learning based Operating Region Extension of Modular Multilevel Converters under Unbalanced Grid Faults (2020)
Journal Article
Wang, S., Dragicevic, T., Gao, Y., Chaudhary, S. K., & Teodorescu, R. (2020). Machine Learning based Operating Region Extension of Modular Multilevel Converters under Unbalanced Grid Faults. IEEE Transactions on Industrial Electronics, 68(5), 4554-4560. https://doi.org/10.1109/tie.2020.2982109

The capacitor voltage ripples of the modular multilevel converter (MMC) are increased under unbalanced grid fault conditions. Since high capacitor voltage ripples deteriorate their lifetimes and may even cause tripping of the MMC system, it is import... Read More about Machine Learning based Operating Region Extension of Modular Multilevel Converters under Unbalanced Grid Faults.