Title :
Artificial intelligence and advanced mathematical tools for power quality applications: a survey
Author :
Ibrahim, Wael R Anis ; Morcos, Medhat M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fDate :
4/1/2002 12:00:00 AM
Abstract :
Increasing interest in power quality has evolved over the past decade. This paper surveys the literature for current applications of advanced artificial intelligence techniques in power quality (PQ). Applications of some advanced mathematical tools in general, and wavelet transform in particular, in power quality are also reviewed. An extensive collection of literature covering applications of fuzzy logic, expert systems, neural networks, and genetic algorithms in power quality is included. Literature exposing the use of wavelets in power quality analysis as well as data compression is also cited
Keywords :
data compression; expert systems; fuzzy set theory; genetic algorithms; neural nets; power engineering computing; power supply quality; wavelet transforms; artificial intelligence techniques; data compression; expert systems; fuzzy logic; genetic algorithms; mathematical tools; neural networks; power quality analysis; wavelet transform; Artificial intelligence; Data compression; Fault diagnosis; Fuzzy logic; Genetic algorithms; Power quality; Power system analysis computing; Power system faults; Power system harmonics; Power system protection;
Journal_Title :
Power Delivery, IEEE Transactions on
