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Issue No.02 - March/April (2011 vol.26)
pp: 46-53
Carlos Frederico M. Almeida , University of São Paulo
Nelson Kagan , University of São Paulo
ABSTRACT
<p>A genetic algorithms and fuzzy programming methodology can help determine the minimum number of meters (and their location) needed to monitor voltage sags and swells in power networks.</p>
INDEX TERMS
Intelligent systems, Fuzzy sets theory, genetic algorithms, optimal meter allocation, power quality monitoring, voltage sags and swells
CITATION
Carlos Frederico M. Almeida, Nelson Kagan, "Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and Swells", IEEE Intelligent Systems, vol.26, no. 2, pp. 46-53, March/April 2011, doi:10.1109/MIS.2011.2
REFERENCES
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6. C.F.M. Almeida and N. Kagan, "Allocation of Power Quality Monitors by Genetic Algorithms and Fuzzy Sets Theory," Proc. 15th Int'l Conf. Intelligent System Applications to Power Systems, IEEE Press, 2009, pp. 1–6.
7. S.R. Hedberg, "Evolutionary Computing: The Rise of Electronic Breeding," IEEE Intelligent Systems, vol. 20, no. 6, 2005, pp. 12–15.
8. D. Bredström, D. Carlsson, and M. Rönnqvist, "A Hybrid Algorithm for Distribution Problems," IEEE Intelligent Systems, vol. 20, no. 4, 2005, pp. 19–25.
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