Distribution network reconfiguration in smart grid system using modified particle swarm optimization

I.I. Atteya, H.A. Ashour, N. Fahmi, D. Strickland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the major characteristic of a smart protection system in Smart grid is to automatically reconfigure the network for operational conditions improvement or during emergency situations avoiding outage on one hand and ensuring power system reliability the other hand. This paper proposes a modified form of particle swarm optimization to identify the optimal configuration of distribution network effectively. The difference between the Modified Particle Swarm Optimization algorithms (MPSO) and the typical one is the filtered random selective search space for initial position, which is proposed to accelerate the algorithm for reaching the optimum solution. The main objective function is to minimize the power losses as it represents high waste of operational cost. The suggested method is tested on a 33 IEEE network using IPSA software. Results are compared to studies using other forms of swarm optimization algorithms such as the typical PSO and Binary PSO. 29% of losses reduction has been achieved during a less computational time.

Original languageEnglish
Title of host publicationThe 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016)
PublisherIEEE
Pages305-313
Number of pages9
ISBN (Electronic)978-1-5090-3388-1
DOIs
Publication statusPublished - 23 Mar 2017
Event5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016 - Birmingham, United Kingdom
Duration: 20 Nov 201623 Nov 2016

Conference

Conference5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
CountryUnited Kingdom
CityBirmingham
Period20/11/1623/11/16

Fingerprint

Electric power distribution
Particle swarm optimization (PSO)
Outages
Costs

Bibliographical note

© IEEE 2016. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • distributed Network Reconfiguration
  • distribution System
  • modified Particle Swarm Optimization
  • smart grid

Cite this

Atteya, I. I., Ashour, H. A., Fahmi, N., & Strickland, D. (2017). Distribution network reconfiguration in smart grid system using modified particle swarm optimization. In The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016) (pp. 305-313). IEEE. https://doi.org/10.1109/ICRERA.2016.7884556
Atteya, I.I. ; Ashour, H.A. ; Fahmi, N. ; Strickland, D. / Distribution network reconfiguration in smart grid system using modified particle swarm optimization. The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016). IEEE, 2017. pp. 305-313
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Atteya, II, Ashour, HA, Fahmi, N & Strickland, D 2017, Distribution network reconfiguration in smart grid system using modified particle swarm optimization. in The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016). IEEE, pp. 305-313, 5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016, Birmingham, United Kingdom, 20/11/16. https://doi.org/10.1109/ICRERA.2016.7884556

Distribution network reconfiguration in smart grid system using modified particle swarm optimization. / Atteya, I.I.; Ashour, H.A.; Fahmi, N.; Strickland, D.

The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016). IEEE, 2017. p. 305-313.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Atteya II, Ashour HA, Fahmi N, Strickland D. Distribution network reconfiguration in smart grid system using modified particle swarm optimization. In The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016). IEEE. 2017. p. 305-313 https://doi.org/10.1109/ICRERA.2016.7884556