Title :
Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and Swells
Author :
Almeida, C.F.M. ; Kagan, N.
Author_Institution :
Univ. of Sao Paulo, São Paulo, Brazil
Abstract :
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. This paper proposes a methodology that determines the minimal number of power-quality meters needed to monitor a power network and identifies the buses on which those meters should be installed.
Keywords :
fuzzy set theory; genetic algorithms; power meters; power supply quality; fuzzy programming methodology; genetic algorithms; power networks; power-quality meters; voltage sags; voltage swells; Circuit faults; Convergence; Genetic algorithms; Power quality; Power system planning; Power transmission lines; Redundancy; Resource management; Voltage control; Fuzzy sets theory; Intelligent systems; genetic algorithms; optimal meter allocation; power quality monitoring; voltage sags and swells;
Journal_Title :
Intelligent Systems, IEEE
