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Analysis of PV System Using Iterative Techniques for Various R Load Conditions

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The increasing use of renewable energy sources will have a big impact on power networks in the future. In this paper, the Photovoltaic(PV) module is modelled using the single-diode model and analyzed using two implicit function solvers: fzero and fsolve. The PV voltage-current and power-voltage characteristics are simulated for different irradiance. The main objective of this work is to compare the computation time and the number of iterations taken by two different methods under standard test conditions (STC) and various irradiances. The analysis is carried out for different series x parallel PV configurations and the behaviour of the PV curves is analyzed with different load conditions.

    Original languageEnglish
    Title of host publication8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages231-236
    Number of pages6
    ISBN (Electronic)9798350350593
    DOIs
    Publication statusPublished - 2024
    Event8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Mangalore, India
    Duration: 18-10-202419-10-2024

    Publication series

    Name8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings

    Conference

    Conference8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024
    Country/TerritoryIndia
    CityMangalore
    Period18-10-2419-10-24

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Hardware and Architecture
    • Electrical and Electronic Engineering

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