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

Volume

17

Issue

2

fYear

2002

fDate

4/1/2002 12:00:00 AM

Firstpage

668

Lastpage

673

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;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.997958

Filename

997958