A Generalized Coverage Matrix Method for Power Quality Monitor Allocation Utilizing Genetic Algorithm

D. P. S. Gomes, M. Oleskovicz, T. R. Kempner, J. R. Lima Filho



With the increase of sensitive loads and, in many cases, causing disturbances in distribution systems, power quality monitor allocation has become a subject with increasingly importance. Therefore, it becomes necessary to have well-formed strategies to allocate such equipment, since they have high cost that needs to be minimized. With this objective, this research provides a methodology for monitor’s allocation that seeks to minimize the amount of equipment needed to observe voltage sags in distribution systems. The developed methodology is based on the fault voltage matrix, to obtain the residual voltage during faults, on the coverage matrix and the application of a genetic algorithm as optimization tool. The research also brings as contribution, changes in traditional methodology to better represent the indicated phenomena in distribution systems and to give better support to fault location studies, justifying a development of a generalized coverage matrix. To test this methodology, the IEEE 34-node test feeder was utilized with promising results reported and commented further.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 14)
Pages:403-408 Date of Publication: 2016/5/20
ISSN: 2172-038X Date of Current Version:2016/05/04
REF:345-16 Issue Date: May 2016
DOI:10.24084/repqj14.345 Publisher: EA4EPQ

Authors and affiliations

D. P. S. Gomes(1), M. Oleskovicz(1), T. R. Kempner(1), J. R. Lima Filho(2)
1. Department of Electrical and Computer Engineering, University of São Paulo - Engineering School of São Carlos. Laboratory of Electrical Systems. Brazil
2. Eletrobrás Piauí Distribution - EDPI. Research Management, Development and Energy Efficiency - DRRD
Teresina, PI. Brazil

Key words

Power Quality, Monitor Allocation, Generalized Coverage Matrix, Genetic Algorithm.


[1] M.H.J. Bohen and I.Y.H. Gu, "Signal Processing of Power Quality Disturbances," New York: IEEE Press, 2006.
[2] G. Olguin, F. Vuinovich and M.H.J. Bollen, “An Optimal Monitoring Program for Obtaining Voltages Sag System Indexes,” IEEE Trans. Power Syst., vol. 21, pp. 378-384, 2006.
[3] M. Haghbin and E. Farjah, “Optimal Placement of Monitors in Transmission System using Fuzzy Boundaries for Voltage Sag Assessment,” presented at the IEEE Power Tech Conf., Bucharest, Romania, June 28 – July 2, 2009.
[4] A. A. Ibrahim, A. Mohamed and F H. Sharee, “Optimal placement of power quality monitors in distribution systems using the topological monitor reach area,” in Electric Machines & Drives Conference (IEMDC), 2011 IEEE International, pp. 394–399, May. 2011.
[5] B. L. Liu and Q. L. Li, “The optimal allocation of power quality monitoring device,” J. Proceedings of the Chinese Society of Universities for Electric Power System and Automation, vol. 21, no. 6, pp.69-73, Dec.2009.
[6] Z. N. Wei, S. Wu, G. Q. Sun, L. F. Tang and C. Wang, “Optimal placement of power quality monitors based on multi-objective evolutionary algorithm,” J. Power System Technology, vol. 36, no. 1, pp. 176-181, Jan. 2012.
[7] A. Kazemi, A. Mohamed and H. Shareef, “A Novel PQM Placement Method Using Cp and Rp Statistical Indices for Power Transmission and Distribution Networks,” IEEE International Power Engineering and Optimization Conference. Selangor, Malaysia, June 2011.
[8] M. Oleskovicz, H. M. G. C. Branco, R. P. M. da Silva, D.V. Coury and A. C. B. Delbem, “A Compact Genetic Algorithm Structure Used for the Optimum Allocation of Power Quality Monitors Based on Electrical Circuit Topology,” In Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference. Hong Kong, pp. 34 – 39, June 2012.
[9] A. A. Ibrahim, A. Mohamed, H. Shareef and S.P. Ghoshal, “Optimal Placement of Voltage Sag Monitors Based on Monitor Reach Area and Sag Severity Index,” The 2010 IEEE Student Conference on Research and Development (SCOReD), Putrajaya, Malaysia, Dec. 13-14, 2010.
[10] J. C. Cebrian, C.F.M. Almeida and N. Kagan, “Genetic algorithms applied for the optimal allocation of power quality monitors in distribution networks,” Harmonics and Quality of Power (ICHQP), Bergamo, 26-29 Sept. 2010.
[11] IEEE Distribution Test Feeders, “IEEE 13 Node Test Feeder”, Avaliable in:
[12] ATP – “About ATP” – Avaliable in:
[13] ATPDraw – “Help and about ATPDraw” – Avaliable in:
[14] C. F. M. Almeida and N. Kagan, “Allocation of Power Quality Monitors by Genetic Algorithms and Fuzzy Sets Theory,” Intelligent System Applications to Power Systems, Curitiba , 8-12 Nov. 2009.
[15] H. M. G. C. Branco, “Modelagem Multiobjetivo para o Problema da Alocação de Monitores de Qualidade de Energia em Sistemas de Distribuição de Energia Elétrica,” MSc. Dissertation – USP, São Carlos, pp 114, July. 2013.
[16] PRODIST. “Procedimentos de Distribuição de Energia Elétrica no Sistema Elétrico Nacional, Módulo 8 - Qualidade da Energia Elétrica,” ANEEL, 2014. Avaliable in:
[17] G. Olguin and M. H. J. Bollen, “Optimal Dips Monitoring Program for Characterization of Transmission System,” IEEE Power Engineering Society General Meeting, 2003.
[18] T. R. Kempner, “A Robustez de um Sistema de Distribuição e a Alocação de Medidores de Qualidade de Energia Elétrica Frente aos Afundamentos de Tensão,” MSc. Dissertation - USP, São Carlos, pp. 111, March 2012.