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Gravitational Search Algorithm for Optimal Distributed Generation Operation in Autonomous Network

  • Research Article - Electrical Engineering
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Abstract

The gravitational search algorithm (GSA) has been used in this research to optimize output of the multiple distributed generator (DG) units in autonomous distribution network. With the optimal operation of DGs, the voltage profile can be improved, thus reducing the power losses in the system. The performance of GSA is compared with an established paper, which uses the genetic algorithm (GA) in analysing similar problem. The results show that the GSA has superior performance in finding the optimal DG output compared to the GA technique, either in terms of power loss as well as the voltage profile. Furthermore, the consistency of the proposed GSA method is proven by the small standard deviation value obtained from 20 repetitions of the same analysis.

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Authors and Affiliations

  1. Universiti Teknologi Malaysia, 81310, Skudai, Malaysia

    J. J. Jamian, M. W. Mustafa, M. A. Baharudin & A. M. Abdilahi

  2. University of Malaya, 50603, Kuala Lumpur, Malaysia

    H. Mokhlis

Authors
  1. J. J. Jamian
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  2. M. W. Mustafa
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  3. H. Mokhlis
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  4. M. A. Baharudin
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  5. A. M. Abdilahi
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Correspondence to J. J. Jamian.

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Jamian, J.J., Mustafa, M.W., Mokhlis, H. et al. Gravitational Search Algorithm for Optimal Distributed Generation Operation in Autonomous Network. Arab J Sci Eng 39, 7183–7188 (2014). https://doi.org/10.1007/s13369-014-1279-0

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  • DOI: https://doi.org/10.1007/s13369-014-1279-0

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