RESEARCH ARTICLE

Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm

  • Trina SOM ,
  • Niladri CHAKRABORTY
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  • Power Engineering Department, Jadavpur University, Kolkata 700098, India

Received date: 11 Oct 2011

Accepted date: 28 Nov 2011

Published date: 05 Mar 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

An economic evaluation of a network of distributed energy resources (DERs) comprising a microgrid structure of power delivery system in an Indian scenario has been made. The mathematical analysis is based on the application of tuned genetic algorithm (TGA). The analyses for optimal power operation pertaining to minimum cost have been made for two cases in Indian power delivery system. The first case deals with the consumers’ individual optimal operation of DERs, while in the second one, consumers altogether form a microgrid with the optimal supply of power from DERs. The total annual costs for these two cases are found to be economically competitive and encouraging. A reduction of approximately 5.7% in the annual cost has been obtained in the case of microgid system than that in the separately operating consumers’ system for a small locality of India. It is observed that the application of TGA results in a reduction of the minimum cost depicting an improved outcome in terms of energy economy.

Cite this article

Trina SOM , Niladri CHAKRABORTY . Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm[J]. Frontiers in Energy, 0 , 6(1) : 12 -20 . DOI: 10.1007/s11708-012-0172-3

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