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Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plants

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  • Niknam, Taher
  • Fard, Abdollah Kavousi
  • Seifi, Alireza

Abstract

In this paper a new method based on multi-objective modified Honey Bee Mating Optimization (MHBMO) algorithm is presented to investigate the DFR problem with the consideration effect of the renewable energy sources (RESs). In the proposed algorithm, a new mating process is suggested to overcome the shortcomings which exist in the original HBMO. During the optimization process, the proposed algorithm finds a set of non-dominated (Pareto) optimal solutions which are stored in an external memory called repository. Also a fuzzy clustering technique is utilized to handle the size of the repository in the specified limits. Moreover, a fuzzy-based decision maker is adopted to select the ‘best compromised’ solution among the non-dominated optimal solutions of multi-objective optimization problem. In order to evaluate the feasibility and effectiveness of the proposed algorithm, two standard distribution systems are used as case studies.

Suggested Citation

  • Niknam, Taher & Fard, Abdollah Kavousi & Seifi, Alireza, 2012. "Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plants," Renewable Energy, Elsevier, vol. 37(1), pages 213-225.
    • Handle: RePEc:eee:renene:v:37:y:2012:i:1:p:213-225
    DOI: 10.1016/j.renene.2011.06.017
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    References listed on IDEAS

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    Cited by:

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    17. Azizivahed, Ali & Narimani, Hossein & Naderi, Ehsan & Fathi, Mehdi & Narimani, Mohammad Rasoul, 2017. "A hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfiguration," Energy, Elsevier, vol. 138(C), pages 355-373.
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