Browsing by Author "Ahmad, W."

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    An Integrated Approach for Current Balancing and Open-Circuit Fault Diagnosis for Interleaved Boost Converter
    (Institute of Electrical and Electronics Engineers Inc., 2024) Muhammed Ramees, M.M.K.P.; Ahmad, W.
    Interleaved boost converters (IBCs) are widely used in many applications such as automotive and renewable energy systems due to their high efficiency, reduced input and output ripple currents, and enhanced voltage regulation. Equalizing the current handled by each phase and embedding an open-circuit switch fault detection module will improve the reliability of the converter. This article addresses these challenges by proposing one diode current sensor at the output, thereby avoiding the need for individual current sensors for each phase. The total diode current and input current of the IBC are sensed, from which the individual phase current is reconstructed. The reconstruction strategy involves selecting the proper sampling instant of the diode current and input current depending on the operating duty cycle. The proposed approach is applicable for both the continuous conduction mode and the discontinuous conduction mode of operation of the converter. Using the reconstructed phase current, both the balancing of the phase current and fault detection are performed. A perturbation-based approach is proposed for the balancing of phase current. The faulty phase can be easily detected from the reconstructed phase current. The proposed method is validated on a prototype of a three-phase IBC showing its robustness and effectiveness. © 2024 IEEE.
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    Photovoltaic Systems Technology
    (wiley, 2024) Husain, M.A.; Ahmad, W.; Ilahi Bakhsh, F.I.; Padmanaban, P.; Malik, H.
    Discover comprehensive insights into the latest advancements in solar PV technology, including power electronics, maximum power point tracking schemes, and forecasting techniques, with a focus on improving the performance of PV systems. A huge number of research articles and books have been published in the last two decades, covering different issues of PV efficiency, circuits, and systems for power processing and their related control. Books that have been published cover one or more topics but altogether fail to give a complete picture of the different aspects of PV systems. Photovoltaic Systems Technology aims to close the gap by providing a comprehensive review of techniques/practices that are dedicated to improving the performance of PV systems. The book is divided into three parts: the first part is dedicated to advancements in power electronic converters for PV systems; tools and techniques for maximum power point tracking of PV systems will be covered in the second part of the book; and the third part covers advancements in techniques for solar PV forecasting. The overall focus of the book is to highlight the advancements in modeling, design, performance under faulty conditions, forecasting, and application of solar photovoltaic (PV) systems using metaheuristic, evolutionary computation, machine learning, and AI approaches. It is intended for researchers and engineers aspiring to learn about the latest advancements in solar PV technology with emphasis on power electronics involved, maximum power point tracking (MPPT) schemes, and forecasting techniques. © 2024 Scrivener Publishing LLC.