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Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages

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  • Kashefi Kaviani, A.
  • Riahy, G.H.
  • Kouhsari, SH.M.

Abstract

A hybrid wind/photovoltaic/fuel cell generation system is designed to supply power demand. The aim of this design is minimization of annualized cost of the hybrid system over its 20 years of operation. Optimization problem is subject to reliable supply of the demand. Three major components of the system, i.e. wind turbine generators, photovoltaic arrays, and DC/AC converter, may be subject to failure. Also, solar radiation, wind speed, and load data are assumed entirely deterministic. System costs involve investments, replacement, and operation and maintenance as well as loss of load costs. Prices are all empirical and components are commercially available. An advanced variation of Particle Swarm Optimization algorithm is used to solve the optimization problem.

Suggested Citation

  • Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
  • Handle: RePEc:eee:renene:v:34:y:2009:i:11:p:2380-2390
    DOI: 10.1016/j.renene.2009.03.020
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    References listed on IDEAS

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    1. Garcia, Raquel S. & Weisser, Daniel, 2006. "A wind–diesel system with hydrogen storage: Joint optimisation of design and dispatch," Renewable Energy, Elsevier, vol. 31(14), pages 2296-2320.
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    3. Nelson, D.B. & Nehrir, M.H. & Wang, C., 2006. "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, Elsevier, vol. 31(10), pages 1641-1656.
    4. Tanrioven, M. & Alam, M.S., 2006. "Reliability modeling and analysis of stand-alone PEM fuel cell power plants," Renewable Energy, Elsevier, vol. 31(7), pages 915-933.
    5. Khan, M.J. & Iqbal, M.T., 2005. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 30(3), pages 421-439.
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