• DocumentCode
    1793534
  • Title

    Optimal control of micro-grid autonomous hybrid power stations based on modeling of stochastic energy consumption

  • Author

    Eliseev, Pavel ; Averbukh, M.

  • Author_Institution
    Dept. of Electr./Electron. Eng., Ariel Univ., Ariel, Israel
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Micro-grid power system becomes today vital reality for many of energy applications including remote habitations areas, military bases, and retranslation and communication equipment and so on. One on the central problem during developments of such systems represents the pressing need to optimize a) the structural design of all facilities including renewable sources (solar), controllable sources (diesel-generator), electrical storage (batteries) and b) control of energy flows inside a system providing optimal efficiency and minimum of fossil fuel consumption. Present works provides the simulation modeling of entire micro-grid system having various parameters of all system components. The special accent was made on the simulation of electrical power consumption models, which was developed taking into account significantly stochastic behavior of energy demands. Simulation modeling was realized by the application of MATLAB/Simulink program software. Stochastic models of energy demands and solar energy possibilities were developed on the base of real data were registered during prolonged period of time in the Negev region of Israel.
  • Keywords
    distributed power generation; fossil fuels; hybrid power systems; optimal control; power consumption; power system control; solar power; stochastic programming; Israel; Matlab-simulink program software; Negev region; communication equipment; controllable sources; electrical power consumption models; electrical storage; energy applications; energy demands; energy flow control; facilities structural design; fossil fuel consumption; microgrid autonomous hybrid power stations; military bases; optimal control; optimal efficiency; real data; remote habitations areas; renewable sources; retranslation; solar energy; stochastic energy consumption modeling; system component parameters; Arrays; Batteries; Electricity; Hybrid power systems; Load modeling; Mathematical model; Power generation; PV solar; diesel-generator; energy consumption; micro-grid power station; simulation modeling; storage batteries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4799-5987-7
  • Type

    conf

  • DOI
    10.1109/EEEI.2014.7005893
  • Filename
    7005893