A Novel Algorithm for an Optimal Reconfiguration of a Power Distribution System

Authors

  • Ndjependa Patrik Roger Department Department of Electrical Engineering, `University of Douala, ENSET, Cameroon
  • Boum Alexandre Teplaira Department Department of Electrical Engineering, `University of Douala, ENSET, Cameroon
  • Ndjakomo Essiane Salomé Department Department of Electrical Engineering, University of Yaoundé I, ENSET, Cameroon

Abstract

This paper presents a new optimization method based on the Hybrid Symbiotic organism Search Algorithm (HSOS) for the reconfiguration of a power distribution network for minimizing active power losses and maximizing voltage at each node. The HSOS method is a new metaheuristic algorithm that improves the Symbiotic organism Search (SOS) algorithm. This new technique is a combination of the SOS and the PSO (Particle Swarm Optimization) algorithm. It is applied on an IEEE 33 nodes test network. The results obtained show that HSOS is more efficient than many others metaheuristic algorithms.


Keywords: HSOS, metaheuristic algorithm, Power distribution network, PSO,
reconfiguration, SOS.

References

Cheng, M.-Y., Prayogo, D., Symbiotic Organisms Search: A new metaheuristic optimization algorithm, Computers and structures, 2014, 98-112.

Boum, A.T., Ndjependa, P. R., Ngo Bisse, J., Optimal reconfiguration of power systems based on Symbiotic Organism Search, Journal of power and energy engineering, vol. 5,2017.

Wang, C., Cheng, H.Z., Optimization of Network configuration in large distribution systems using Plant Growth simulation Algorithm, IEEE transactions on power systems, vol. 23, No. 1, 2008.

Nguyen,T.T.,Truong,A.V, Distribution network reconfiguration for power loss minimization and voltage profile improvement using cuckoo search algorithm, Electrical Power and Energy Systems 68 233–242, 2015.

Rayapudi, S.R., Lakshmi, V., Sadhu, N., Manyala, R.R., Rao A , S., Optimal network reconfiguration of large-scale distribution system using harmony search algorithm, IEEE Trans Power Syst.; 26(3):1080–8, 2011.

Muttaqi, K.M., Ganapathy, V., Jasmon, G. B., Buhari M., A novel method for loss minimization in distribution networks, University of Wollongong, Faculty of Engineering and Information Sciences, 2000.

Niknam, T., An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration, Energy Conversion and Management, vol. 50, pages 2074-2082, 2000.

Zhen-kun, L., Xing-ying, C., Kun, Y., Hao-ming, L., Bo, Z., Hybrid Particle Swarm Optimization for Distribution Network Reconfiguration, College of Electrical Engineering, Hohai University, 2008.

Li, Z., Chen, X., Yu, K., Sun, Y., Haoming, L., A hybrid Particle Swarm Optimization approach for distribution network reconfiguration problem, IEEE Power and Energy Society General Meeting in the 21 st Century, 2008.

Eberhart, R., Kennedy, J., Particle Swarm Optimization, Proc. Of IEEE International Conf. on Neural Networks. Vol. 4, 1995, pp. 1942-1948.

Downloads

Published

2020-05-14

Issue

Vol. 10 No. 1 (2020)

Section

Research Article

License

Journal Title:

Title of the Paper:

Corresponding Author’s Information:

Name: Address:

E-mail:

Contact Number:

It is herein agreed that: The copyright to the above-listed unpublished and original article is transferred to STM Journals.

This copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature.

I/We declare that above manuscript is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

 I/ We warrant(s) that his/her/their contribution is original, except for such excerpts from copyrighted works as may be included with the permission of the copyright holder and author thereof, that it contains no libelous statements, and does not infringe on any copyright, trademark, patent, statutory right, or propriety right of others.

I/We will not publish his/her/their above said contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially. I/We also agree to the authorship of the article in the following order: Author(s) Name Signature(s)

1. ________________

2. ________________

3. ________________

4. ________________

The author(s) agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal (comments if any to the editor can be added below).