Optimal Selection and Allocation of Sectionalizers in Distribution Systems Using Fuzzy Dynamic Programming
Albornoz Esteban, Andreoni Alberto
DOI: 10.4236/epe.2010.24040   PDF    HTML     7,332 Downloads   12,293 Views   Citations


This paper describes a calculation strategy that allows determining the optimal number and placement of sectionalizing switches in MV radial distribution networks, in correspondence to technical, regulatory and economical aspects. A formulation that takes into account the investment, maintenance and power interruption costs has been developed, seeking for a reduction in total costs while taking care of the regulatory and technical aspects. A multicriteria optimization procedure allows incorporating in the calculating process various quality indicators which can be either global or individual indexes. This way of formulation makes the proposal flexible as well as applicable to allow including aspects that were not considered in previous papers. The solution methodology is mainly based on dynamic programming, fuzzy logic, heuristics and economic analysis techniques. Given its flexibility, the proposed tool is easily adapted to real distribution systems, by considering the individual requirements of each network. The solutions obtained in simulations are oriented to help decision-making for the operator.

Share and Cite:

A. Esteban and A. Alberto, "Optimal Selection and Allocation of Sectionalizers in Distribution Systems Using Fuzzy Dynamic Programming," Energy and Power Engineering, Vol. 2 No. 4, 2010, pp. 283-290. doi: 10.4236/epe.2010.24040.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] R. E. Brown, S. Gupta, R. D. Christie, S. S. Venkata, R. Fletcher, “Automated Primary Distribution System Design: Realiability and Cost Optimization,” IEEE Transactions on Power Delivery, Vol. 12, No. 2, April 1997, pp. 1017- 1022.
[2] F. Soudi and K. Tomsovic, “Optimal Distribution Protection Design: Quality of Solution and Computational Analysis,” Electric Power & Energy System, Vol. 21, 1999, pp. 327-335.
[3] V. Miranda, A. do Vale and A. Cerveira, “Optimal Emplacement of Switching Devices in Radial Distribution Networks,” Proceeding of CIRED’83, Session 6, rap. 13, ed. A.I.M., Liège, Belgium, April 1983.
[4] Mohamed E. El-Hawary, “Electric power applications of fuzzy systems,” IEEE Press Power Systems Engineering Series, P.M. Anderson, Series Editor, United States, 1998.
[5] M. Vladimiro, “Fuzzy reability analysis of power system,” PSCC’96, Vol. 1, August 1996, pp. 558-566.
[6] M. Vladimiro, “Using fuzzy reliability indices in a decision aid environment for establishing interconnection and switching location policies,” CIRED, 1991.
[7] R. Billinton and S. Jonnavithula, “Optimal switching device placement in radial distribution system,” IEEE Transactions on Power Delivery, Vol. 11, No. 3, July 1996, pp. 1646-1651.
[8] F. Soudi and K. Tomsovic, “Optimized distribution protection using binary programming,” IEEE Transactions on Power Delivery, Vol. 13, No. 1, January 1998, pp. 218-224.
[9] G. Celli and F. Pilo, “Optimal sectionalizing switches allocation in distribution networks,” IEEE Transactions on Power Delivery, Vol. 14, No. 3, July 1999, pp. 1167-1172.
[10] G. Levitin, S. Mazal-Tov and D. Elmakis, “Optimal sectionalizer allocation in electric distribution systems by genetic algorithm,” Electric Power System Research, Vol. 31, 1994, pp. 97-102.
[11] G. Levitin, S. Mazal-Tov and D. Elmakis, “Genetic algorithm for optimal sectionalizing in radial distribution with alternative supply,” EPSR, Vol. 35, 1995, pp. 149-155.
[12] L.-H. Tsai, “Network reconfiguration to enhance reliability of electric distribution system,” EPSR, Vol. 27, 1993, pp. 135-140.
[13] M. Sakawa, “Fuzzy sets and interactive multiobjective optimization,” Plenum Publishing Corporation, 1993, United States.
[14] T. L. Saaty, “A scaling method for priorities in hierarchical structures,” Journal of Mathematical Psychology, Vol. 15, 1977.
[15] R. R. Yager, “Multiple objective decision making using fuzzy sets,” International Journal of Man-Machine Studies, 9. 1977.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.