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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

2016/5/20

Abstract

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.

References

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