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Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using Particle Swarm Optimization

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  • Paliwal, Priyanka
  • Patidar, N.P.
  • Nema, R.K.

Abstract

The determination of type of generation technology suitable for an autonomous power system calls for comprehensive planning. In this paper, a systematic approach for determination of optimal mix of resources is presented for an autonomous hybrid power system. The considered constituent resources comprise of diesel, photovoltaic, wind and battery storage. A techno-socio-economic criterion is formulated in order to determine optimum combination of resources. Reliability evaluation forms the basis of planning problem and has been carried out using analytical technique. The proposed formulation has been analyzed for different resource mix configurations for an autonomous power system located in Jaisalmer, Rajasthan, India. Particle Swarm Optimization (PSO) has been used to determine optimal component sizing for each of the configuration.

Suggested Citation

  • Paliwal, Priyanka & Patidar, N.P. & Nema, R.K., 2014. "Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using Particle Swarm Optimization," Renewable Energy, Elsevier, vol. 63(C), pages 194-204.
  • Handle: RePEc:eee:renene:v:63:y:2014:i:c:p:194-204
    DOI: 10.1016/j.renene.2013.09.003
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    References listed on IDEAS

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    1. Yang, H.X. & Lu, L. & Burnett, J., 2003. "Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong," Renewable Energy, Elsevier, vol. 28(11), pages 1813-1824.
    2. Diaf, S. & Notton, G. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions," Applied Energy, Elsevier, vol. 85(10), pages 968-987, October.
    3. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    4. Kaldellis, J.K., 2010. "Optimum hybrid photovoltaic-based solution for remote telecommunication stations," Renewable Energy, Elsevier, vol. 35(10), pages 2307-2315.
    5. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    6. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
    7. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    8. Kaldellis, J.K. & Zafirakis, D. & Kaldelli, E.L. & Kavadias, K., 2009. "Cost benefit analysis of a photovoltaic-energy storage electrification solution for remote islands," Renewable Energy, Elsevier, vol. 34(5), pages 1299-1311.
    9. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2008. "Battery behavior prediction and battery working states analysis of a hybrid solar–wind power generation system," Renewable Energy, Elsevier, vol. 33(6), pages 1413-1423.
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