Intelligent system applications in a competitive power industry environment

Author

Liu, Chen-Ching

Author_Institution

Washington Univ., Seattle, WA, USA

Volume

2

fYear

1999

fDate

1999

Firstpage

628

Abstract

There are already a number of intelligent system applications to distribution systems. In the new environment, customer satisfaction is an important indicator of competitiveness. Power quality assessment involves the detection of transients, sags and harmonics. It also involves reasoning about the cause-effects between disturbances and power quality problems. In this paper, the author describes how knowledge-based systems, qualitative reasoning, artificial neural networks and fuzzy logic will find interesting applications in the power quality area

Keywords

common-sense reasoning; electricity supply industry; fuzzy logic; harmonic distortion; knowledge based systems; neural nets; power distribution faults; power engineering computing; power supply quality; power system harmonics; power system transients; artificial neural networks; cause-effects; competitive power industry environment; customer satisfaction; distribution systems; disturbances; fuzzy logic; harmonics detection; intelligent system applications; knowledge-based systems; power quality assessment; qualitative reasoning; sags detection; transients detection; Artificial intelligence; Artificial neural networks; Competitive intelligence; Fuzzy logic; Intelligent networks; Intelligent systems; Knowledge based systems; Learning systems; Power industry; Power system reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Summer Meeting, 1999. IEEE

Conference_Location

Edmonton, Alta.

Print_ISBN

0-7803-5569-5

Type

conf

DOI

10.1109/PESS.1999.787388

Filename

787388