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

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

doi:10.1109/ICRERA.2016.7884556

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/Published conference output › Conference publication

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 language	English
Title of host publication	The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016)
Publisher	IEEE
Pages	305-313
Number of pages	9
ISBN (Electronic)	978-1-5090-3388-1
DOIs	https://doi.org/10.1109/ICRERA.2016.7884556
Publication status	Published - 23 Mar 2017
Event	5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016 - Birmingham, United Kingdom Duration: 20 Nov 2016 → 23 Nov 2016

Conference

Conference	5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
Country/Territory	United Kingdom
City	Birmingham
Period	20/11/16 → 23/11/16

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

Access to Document

10.1109/ICRERA.2016.7884556

https://dspace.lboro.ac.uk/2134/25185

Cite this

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title = "Distribution network reconfiguration in smart grid system using modified particle swarm optimization",

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.",

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doi = "10.1109/ICRERA.2016.7884556",

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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

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AU - Atteya, I.I.

AU - Ashour, H.A.

AU - Fahmi, N.

AU - Strickland, D.

N1 - © 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.

PY - 2017/3/23

Y1 - 2017/3/23

N2 - 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.

AB - 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.

KW - distributed Network Reconfiguration

KW - distribution System

KW - modified Particle Swarm Optimization

KW - smart grid

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BT - The 5th IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016)

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T2 - 5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016

Y2 - 20 November 2016 through 23 November 2016

ER -

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

Abstract

Conference

Bibliographical note

Keywords

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