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A Novel Optimization Algorithm for Reliable Energy based on Wind, Solar and Fuel Cell

Khayyamim, Tara | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 46957 (55)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Hajsadeghi, Khosro; Zabihollah, Abolghasem
  7. Abstract:
  8. Concerns like fuel cost, pollution and global warming has made it necessary to look for new energy solutions. Renewable and alternative energies have proven themselves to be helpful in this matter. Renewable energy(RE) is the energy that comes from natural resources such as sunlight, wind, rain, tides, waves and geothermal heat, which are naturally replenished at a constant rate. Renewable energies are environmentally friendly, not cheap at the beginning but naturally available in a constant rate and wide spread, unlike fossil fuels that are localized in the limited places. In this thesis in order to generate environmental friendly power we consider two renewable energy resources: wind and photovoltaic, and a clean alternative energy (AE): fuel cells. These two generation sources can be in the form of customized distributed generation (DG) systems in grid connected or standalone structure. In order to have a reliable and cost efficient power generating system, an optimization algorithm based on genetic algorithm is proposed. The proposed system has been tested for different scenarios and has been proven to be a reliable power generating system for various situations
  9. Keywords:
  10. Solar Energy ; Wind Energy ; Genetic Algorithm ; Fuel Cell ; Renewable Energy Resources

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