Optimization of the number, size and placement of D-STATCOM in radial distribution network using Ant Colony Algorithm

Optimization of the number, size and placement of D-STATCOM in radial distribution network using Ant Colony Algorithm


1Electrotechnic, Telecommunications and Informatics Laboratory (LETIA) University of Abomey-Calavi Cotonou, Benin;2 Electronic, Electrotechnic, Automatic and Telecommunications Laboratory (LEEAT) University of Douala Douala, Cameroon;3Ecole Doctorale, Science de l’ingénieur University of Abomey-Calavi Cotonou, Benin

American Journal of Engineering Research and Reviews

This paper investigate an approach based on Ant Colony Optimization to identify optimal size, number, cost and placement of D-STATCOMs in radial distribution systems. Objective functions integrating power loss, voltage deviation and cost minimizations are solved by Ant Colony algorithm developed in MATLAB. This algorithm is tested on the IEEE 33- bus system and on a real distribution network of SBEE (Beninese Society of Electrical Energy). As results, it is observed that losses are reduced to 22.42 percent for IEEE 33-bus system with five D- STATCOMs and global installation and operating estimated cost of 3546762.35 dollars in first, and then, losses are reduced to 61.63 percent with four D-STATCOMs and cost of 2493146.29 dollars for a real distribution system of SBEE.

Keywords: D-STATCOM, optimal placement, radial network, ant colony optimization, power loss

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How to cite this article:
A. OLOULADE, A. MOUKENGUE IMANO, A. VIANNOU, H. TAMADAHO. Optimization of the number, size and placement of D-STATCOM in radial distribution network using Ant Colony Algorithm. American Journal of Engineering Research and Reviews, 2018, 1:12.


[1] K. Nirmala et N. P. C. Rao, « Incorporation of Dstatcom in Radial Distribution Systems », Int. J. Comput. Eng. Res. IJCER, 2013.
[2] A. Nuhanović, J. Hivziefendić, et A. Hadžimehmedović, « Distribution network reconfiguration considering power losses and outages costs using genetic algorithm », J. Electr. Eng., vol. 64, no 5, p. 265–271, 2013.
[3] K. Somsai et T. Kulworawanichpong, « Cost estimation for reactive power compensation in distribution power system by using D-STATCOM », 2013.
[4] S. S. Hussain et M. Subbaramiah, « An analytical approach for optimal location of DSTATCOM in radial distribution system », in Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on, 2013, p. 1365–1369.
[5] A. Jain, A. R. Gupta, et A. Kumar, « An efficient method for D-STATCOM placement in radial distribution system », in 2014 IEEE 6th India International Conference on Power Electronics (IICPE), 2014, p. 1 6.
[6] H. B. Tolabi, M. H. Ali, et M. Rizwan, « Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach », IEEE Trans. Sustain. Energy, vol. 6, no 1, p. 210–218, 2015.
[7] M. Farhoodnea, A. Mohamed, H. Shareef, et H. Zayandehroodi, « Optimum D-STATCOM placement using firefly algorithm for power quality enhancement », in Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International, 2013, p. 98–102.
[8] A. Bagherinasab, M. Zadehbagheri, S. A. Khalid, M. Gandomkar, et N. A. Azli, « Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm to Losses Reduction », Int. J. Appl. Power Eng. IJAPE, vol. 2, no 2, p. 53 60, août 2013.
[9] B. B. Sahoo et S. K. (Guide) Jain, « Analysis of Distribution Systems with DSTATCOM », Thesis, 2010.
[10] P. Siarry, Métaheuristiques. Editions Eyrolles, 2014.
[11] P. Albert, L. Henocque, et M. Kleiner, « Optimisation par colonie de fourmis pour la configuration », in JFPC 2008-Quatrièmes Journées Francophones de Programmation par Contraintes, 2008, p. 49–58.