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An efficient methodology for optimal reconfiguration of electric distribution network considering reliability indices via binary particle swarm gravity search algorithm

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Abstract

One important aspect that should be achieved during the operation of the distribution network is minimizing the total active loss. This objective can be achieved by network reconfiguration in which switching events such as closing tie switches or opening sectionalizing switches are efficiently determined. This paper presents a reliable meta-heuristic algorithm for optimal reconfiguration of the distribution network which is binary particle swarm optimization gravity search algorithm (BPSOGSA). The methodology is applied on four test systems: 16-bus system, 33-bus system, 69-bus system and 119-bus system. Reliability indices, system average interruption frequency, system average interruption duration and energy not supplied, are incorporated to check the validity of the network after reconfiguration process. Comparison with other reported previous methods is performed; the power loss is reduced by 9.3242% in 16-bus system, for 33-bus system; the power loss is reduced by 31.46%. In case of 69-bus system, the power loss is reduced by 56.1761%, while for 119-bus, the power loss is reduced by 33.7216%. Additionally, the performance of the proposed BPSOGSA is the best one compared with the others for all studied cases. The obtained results prove the reliability of the proposed methodology.

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Author information

Authors and Affiliations

  1. Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt

    Ahmed Fathy & Mahdi El-Arini

  2. Electrical Engineering Department, Faculty of Engineering, Port-Said University, Port-Said, Egypt

    Osama El-Baksawy

Authors
  1. Ahmed Fathy
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  2. Mahdi El-Arini
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  3. Osama El-Baksawy
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Correspondence to Ahmed Fathy.

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Appendix

Appendix

See Table 11.

Table 11 Data of 33-bus system
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Fathy, A., El-Arini, M. & El-Baksawy, O. An efficient methodology for optimal reconfiguration of electric distribution network considering reliability indices via binary particle swarm gravity search algorithm. Neural Comput & Applic 30, 2843–2858 (2018). https://doi.org/10.1007/s00521-017-2877-z

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  • DOI: https://doi.org/10.1007/s00521-017-2877-z

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