Optimization of Recloser Placement to Improve Reliability by Genetic Algorithm
Nematollah Dehghani, Rahman Dashti
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DOI: 10.4236/epe.2011.34061   PDF    HTML     7,561 Downloads   12,396 Views   Citations

Abstract

In this paper, a simple method for placing an optimal number of recloser is presented. The algorithm is solved using genetic algorithm as the optimization method. The majority of outage events experienced by customers are due to electrical distribution failures. Increasing network reliability is a necessity in order to reduce interruption events. Distribution network automation can trim down outage events and increase system reliability. Network automation has to be done using optimization approaches. Genetic Algorithm (GA) is a relatively new technique used in power systems optimization problems. Distribution network automation is one of the aspects tackled using GA. However ,the methodologies used to improve the reliability of radial distribution feeders are reviewed. The reliability improvement are demonstrated for typical distribution feeder layouts. determined. The method enjoys the simplicity of conFigure uration, accuracy of the results and reduction of the time consuming. The obtained results also show the applicability of the algorithm

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N. Dehghani and R. Dashti, "Optimization of Recloser Placement to Improve Reliability by Genetic Algorithm," Energy and Power Engineering, Vol. 3 No. 4, 2011, pp. 508-512. doi: 10.4236/epe.2011.34061.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] D. E. Goldberg, “Genetic Algorithms in Search, Optimization and Machine Learning,” Addison-Wesley, Longman, London, 1998
[2] O. Pavel, “Optimization of Parameters of Fuzzy Controllers by Genetic Algorithm,” Technical University of Berno, Faculty of Mechanical Engineering, Borno, 2010.
[3] E. M. Rudinck, J. H. Patel, G. S. Greenstein and T. M. Niermann, “Sequential Circuit Test Generation in Genetic Algorithm Framework,” Proceedings of ACM/IEEE Design Automation Conference, San Diego, 6-10 June 1994, pp. 698- 704.
[4] M. Kalanter, R. Dashti and R. Dashti, “Combination of Network. Recon Figuration and Capacitor Placement for Loss Reduction in Disterbution System with Based Genetic Algorithm,” UPEC Conference, New Castle, 6-8 September 2006.
[5] Z. Feng, “Electric Distribution System Risk As-sessment Using Actual Utility Reliability Data,” Thesis, March 2006, pp. 20-24.
[6] A. R. Bergen, “Power System Analy-sis,” 1st Edition, Prentice-Hall, Upper Saddle River, 1986.
[7] IEEE, “IEEE Trial-Use Guide for Electric Power Distribution Reliability Indices,” IEEE 1366-1998 Standard, 1998
[8] C. A. Warren, R. Ammon and G. Welch, “A Survey of Distribution Reliability Measurement Practices in the US,” IEEE Transactions on Power Delivery, Vol. 14, No. 1, 1999, pp. 250-257. doi:10.1109/61.736733
[9] A. Pregelj, “Impact of Distributed Generation on Power Network Operation,” Ph.D. Thesis, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, 2003.
[10] T. Guonen, S. M. Rezaei, “Distribution Engineering,” Tehran University Pub-lishing, Tehran, No. 1-1375

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