Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Author: search.filters.author.Husain, M.A.

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    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.
  • No Thumbnail Available
    Item
    Particle Swarm Optimization based Maximum Power Point Tracking Technique for Solar PV System under Partially Shaded conditions
    (Institute of Electrical and Electronics Engineers Inc., 2021) Naseem, M.; Husain, M.A.; Kumar, J.; Ahmad, M.W.; Minai, A.F.; Khan, A.A.
    To attain peak power from a PV source, the maximum power point tracking (MPPT) approach is frequently used. The MPP of a photovoltaic (PV) system is not constant since its output characteristics are dependent on numerous parameters. Partial shading causes significant changes in the PV system's attributes, and it often shows several local maxima as well as global maxima. Due to the development of local maxima, traditional MPPT methods fail in partial shade situations. Due to partial shade, solar systems frequently have hot spots, which not only disrupt system yield power but also compromise the system's dependability and safety. Due to the existence of many peaks in the P-V curve under partial shade, the traditional MPPT becomes stuck in local maxima rather than the global peak. As a result, sophisticated MPPT systems are required to accurately track the real peak power despite changing temperature and irradiation circumstances. To accomplish this, this study proposes a tracking scheme based on particle swarm optimization (PSO). The suggested MPPT is simple, versatile, precise, and economical, and it can track global MPP even when partially shaded. The proposed algorithm's performance is examined in MATLAB Simulink to test the effectiveness of the recommended MPPT technique. © 2021 IEEE.
  • No Thumbnail Available
    Item
    Design and Implementation of Different Drive Topologies for Control of Induction Motor for Electric Vehicle Application
    (River Publishers, 2022) Husain, M.A.; Rajput, R.; Gupta, M.K.; Tabrez, M.; Ahmad, M.W.; Ilahi Bakhsh, F.I.
    To improve driving range in Electric vehicles (EV), parallel-series connection of battery cells is a necessity. Supressing the circulating current in the battery board of parallel connected battery strings helps improve the lifespan of the batteries. This study presents a comparison of the requirements of parallel strings of batteries in three different popular topologies for open end winding induction motor (IM) drives in EV. The topologies analyzed are a 3-phase voltage source inverter (VSI), a Dual fed inverter and three single-phase HBridge VSIs. These converters are modulated using Space vector pulse width modulation (SVPWM) as it has better performance compared to Sine PWM. MATLAB-Simulink models are developed for the converter topologies. The simulation results show that the three single-phase inverter topology feeding the drive is the best alternative when compared on the basis of battery requirement and switch loss. Moreover, each H-bridge inverter (in the three single-phase inverter topology) can be used as charger and the problem of circulating current during charging will also be least as compared to other schemes. © 2022 River Publishers.