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


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.

Publication DOI: https://doi.org/10.1109/ICRERA.2016.7884556
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Engineering Systems & Management
Engineering & Applied Sciences > Power Electronics, Machines and Power System (PEMPS)
Additional Information: © 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.
Event Title: 5th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2016
Event Type: Other
Event Dates: 2016-11-20 - 2016-11-23
Uncontrolled Keywords: distributed Network Reconfiguration,distribution System,modified Particle Swarm Optimization,smart grid,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
ISBN: 978-1-5090-3388-1
Full Text Link: https://dspace. ... c.uk/2134/25185
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2017-03-23
Accepted Date: 2016-11-01
Authors: Atteya, I.I.
Ashour, H.A.
Fahmi, N.
Strickland, D. ( 0000-0002-2979-4479)

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