• DocumentCode
    736209
  • Title

    Modeling, simulation and economic analysis of offgrid hybrid renewable power system for an un-electrified village in Odisha

  • Author

    Pradhan, Ajoya Kumar ; Kar, Sanjib Kumar ; Mohanty, Mahendra Kumar

  • Author_Institution
    Dept. of Electrical Engineering, Sikha O Anusandhan University, Bhubaneswar, Odisha, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The stand-alone hybrid renewable power generation systems usually have lower costs with higher reliability than solar photovoltaic (PV) or wind energy system only. The most usual hybrid systems are PV/Wind/Battery and PV/Diesel/Battery. The excess energy is stored usually in lead-acid type of batteries. The optimization design is carried out by minimizing the unit cost of energy (UCOE) and GHG (Green House Gas) emissions (CO2, NOx and particles) for the various cases, comparing the results obtained by means of HOMER (Hybrid Optimization Model of Electric Renewable) software. In this paper, the optimal cost analysis of hybrid energy system is based on the load profile, solar irradiance, wind speed and price of fuel, which is collected from an un-electrified village near Bhubaneswar, Odisha in India. Moreover, the optimization of the system is obtained by varying the sensitivity variables like solar radiation and wind speed data. The cash flow summary of the hybrid system is obtained which will be useful for the optimal cost allocation of each individual component utilized in the system.
  • Keywords
    Batteries; Biofuels; Generators; Hybrid power systems; Renewable energy sources; Wind speed; Wind turbines; HOMER software; Hybrid power generation system; solar power; wind generating system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253724
  • Filename
    7253724