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Integration of DG systems composed of photovoltaic and a micro-turbine in remote areas

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

    Abstract

    Utility side consumers are in the remote areas who are not linked by the central electrical grid network, hybrid systems such as Photovoltaic/Microturbine have been considered as the most reliable, desired and attractive unconventional source of power supply. This documents the analysis and simulation of a Photovoltaic/Microturbine hybrid system using MATLAB/SIMULINK, simpower system block sets as its simulation software. The system is designed entirely based on the concept of a parallel hybrid configuration. The software modeling of a Photovoltaic/Microturbine system provides an in-depth understanding of the system operation before building the actual system and also the testing and experiments of system operation under disturbances is not possible on the actual system.

    Original languageEnglish
    Title of host publication2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages828-831
    Number of pages4
    ISBN (Electronic)9781509009015
    DOIs
    Publication statusPublished - 31-08-2016
    Event5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016 - Melmaruvathur, Chennai, India
    Duration: 20-04-201621-04-2016

    Publication series

    Name2016 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2016

    Conference

    Conference5th International Conference on Computation of Power, Energy Information and Communication, ICCPEIC 2016
    Country/TerritoryIndia
    CityMelmaruvathur, Chennai
    Period20-04-1621-04-16

    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

    • Computer Networks and Communications
    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Control and Optimization

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