• DocumentCode
    1833572
  • Title

    An off-grid hybrid system scheduling for a remote area

  • Author

    Bansal, Mohit ; Saini, R.P. ; Khatod, D.K.

  • Author_Institution
    Alternate Hydro Energy Center, Indian Inst. of Technol., Roorkee, India
  • fYear
    2012
  • fDate
    1-2 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the advent of renewable technologies in the power market, it is of keen interest of researchers to utilize these technologies in the most optimum manner. The unit cost of energy particularly from solar energy is much higher when compared with conventional energy sources. Nowadays, the emphasis is on the integrated utilization of these resources to minimize the cost and maximize the profit. In this paper, an optimal daily scheduling approach for a solar-wind-diesel system with battery storage has been presented. A mathematical model has been developed with the objective of maximizing profit. The problem has been optimized using Linear Programming technique using Primal-Dual Interior Point Method. This model is then tested on a test system and in order to obtain results MATLAB codes have been developed.
  • Keywords
    hybrid power systems; optimisation; power markets; scheduling; solar power stations; wind power plants; MATLAB codes; battery storage; energy sources; linear programming technique; off-grid hybrid system scheduling; optimal daily scheduling approach; power market; primal-dual interior point method; remote area; renewable technologies; solar energy; solar-wind-diesel system; Batteries; Generators; Mathematical model; Optimization; Renewable energy resources; Wind energy; Wind turbines; linear programming; modeling; optimization; solar-wind-diesel system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4673-1516-6
  • Type

    conf

  • DOI
    10.1109/SCEECS.2012.6184799
  • Filename
    6184799