https://www.um.edu.mt/library/oar/handle/123456789/16863 Sat, 24 Oct 2026 01:43:23 GMT 2026-10-24T01:43:23Z https://www.um.edu.mt/library/oar/handle/123456789/150368 Title: A gate driver for parallel connected MOSFETs with crosstalk suppression Authors: Mikhaylov, Yury; Buticchi, Giampaolo Abstract: New semiconductor materials offer several advantages for modern power systems, including low switching and conduction losses, excellent thermal conduction of a die, and high operation temperature. Avionics is one of the main beneficiaries of the progress in power devices, as it enables more compact and lighter converters for future More Electrical Aircraft. However, these advancements also come with new challenges that must be addressed to avoid potentially dangerous situations and fully utilize the capabilities of fast SiC MOSFETs. One such challenge is the high drain voltage rate during the switching process, which leads to a significant injection of current into the gate circuit (crosstalk effect). This increased current injection increases the risk of shoot-through conduction and thermal runaway. Although preventive measures are well-known, they offer limited protection in the case of parallel MOSFET connections. Therefore, this paper considers crosstalk features for parallel MOSFET connections, such as parasitic inductance of gate driver trace and gate voltage distribution. A special model is proposed to predict the magnitude of induced gate voltage under different conditions considering the nonlinear behavior of the MOSFET reverse capacitance. A new clamp circuit with an individual low-inductance path for each parallel switch is also proposed to suppress the consequences of crosstalk. The modified circuit operates independently from the main gate driver circuit; therefore, it does not change the switching time and electromagnetic interference pattern of the inverter. The efficiency of the new gate driver is confirmed through simulation and experimental results. Sun, 01 Jan 2023 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/150368 2023-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/149849 Title: Smart and sustainable energy management of hybrid PV/wind systems using AI-based fuzzy control Authors: Patil, Sangita; Jadhav, Seema; Tran, Tien Anh; Bhowmik, A.; Panda, Jibitesh Kumar Abstract: The rapid growth of renewable energy penetration has intensified the need for robust and intelligent energy management strategies capable of addressing the intermittency of solar and wind resources. This study presents a simplified fuzzy logic controller (FLC)–based energy management system (EMS) for a grid-connected PV/Wind hybrid system integrated with battery energy storage. A fuzzy logic–based Maximum Power Point Tracking (MPPT) scheme is developed for the photovoltaic subsystem to ensure efficient power extraction under variable irradiance and temperature conditions. MATLAB/Simulink-based investigations reveal that the proposed FLC-MPPT achieves a tracking efficiency of 98.6%, with a settling time reduced by 32% compared to conventional perturb-and-observe methods. The hybrid EMS effectively coordinates power flow among PV, wind, battery, and grid, reducing grid dependency by 41% and improving battery state-of-charge regulation within ±5% limits under dynamic load conditions. Battery cycling stress is reduced by 27%, enhancing storage lifespan. Furthermore, the integration of a Unified Power Flow Controller (UPFC) significantly improves system resilience under grid disturbances, achieving 38% voltage sag mitigation and 45% reduction in power oscillations during simulated fault conditions. The results confirm that the proposed simplified FLC-based EMS enhances energy utilization, system stability, and power quality in grid-linked hybrid renewable systems. This work directly supports UN SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action) by enabling efficient, reliable integration of renewable energy sources into smart power systems. Thu, 01 Jan 2026 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/149849 2026-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/148758 Title: IoT technologies for renewable energy generation : assessment, monitoring, and control of resources Authors: Tran, Tien Anh; Bolbot, Victor; Tam, Ivan CK Abstract: This book provides an understanding of the significant applications of IoT technologies in renewable energy. It explores their integration with various renewable energy sources, including solar, wind, bioenergy, piezoelectric materials, and solutions addressing water shortage challenges, highlighting advancements and practical implementations in each area. A comparative analysis of recent techniques is presented to evaluate the efficiency of IoT‑based renewable energy systems. This book also focuses on the economic feasibility of IoT-enabled renewable energy solutions.; Features:; • Addresses multiple renewable energy technologies with IoT-based monitoring and control.; • Explores solar, wind, and hybrid energy systems, including energy storage and microgrid integration.; • Investigates renewable energy microgrid systems.; • Focuses on climate goals and the Sustainable Development Goals.; • Includes discussions of marine renewable energies and offshore wind turbine generation.; This book is aimed at graduate students and researchers in renewable energy engineering, IoT and embedded systems, and electrical engineering. Thu, 01 Jan 2026 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/148758 2026-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/148487 Title: Grid-forming converters with frequency & voltage active support and distributed cooperative control for active and reactive power sharing Authors: Li, Guangdi; Zhang, Yaodong; Gao, Hao; Zhou, Bowen; Xiao, Zhaoxia; Micallef, Alexander; Apap, Maurice; Licari, John Abstract: In islanded AC microgrids, grid-forming converters (GFCs) often employ virtual synchronous generators (VSGs) with virtual inertia and droop characteristics. However, this approach can lead to deviations in frequency and voltage from their rated values, affecting power quality and potentially compromising the security of the power supply. In addition, the power allocation is influenced by line impedance, and due to the uneven parameters among GFCs, it cannot be fully evenly shared. This paper presents a distributed control strategy for GFC that integrates frequency-voltage active support with power coordination control. This distributed strategy is implemented using multi-agent consensus theory, which ensures that the frequency and voltage of the GFCs remain at their rated values while accurately distributing active and reactive power across each GFC. It addresses the limitations of VSG control while maintaining a lower communication burden. Furthermore, several Hardware-in-the-Loop (HIL) experiments were conducted across multiple cases, validating the effectiveness of the proposed strategy and further enhancing it through cross-case analysis. Sun, 01 Jun 2025 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/148487 2025-06-01T00:00:00Z