Evaluation of power systems reliability by an artificial neural network

Author

Amjady, Nima ; Ehsan, Mehdi

Author_Institution

Semnan Univ., Iran

Volume

14

Issue

1

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

287

Lastpage

292

Abstract

A new method for reliability analysis of power systems is presented in this paper. This method is based on the artificial neural networks (ANNs), which as shown, need short training times. The objective of this paper is presentation of a new method which can solve difficulties of the previous reliability analysis methods, such as low accuracy, complex modelling and large computations. The proposed method is applied for reliability evaluation of generating units and the transmission system. Obtained results from this method for the IEEE reliability test system are mentioned, which confirm the validity of the developed approach. Other advantages of the proposed method for reliability evaluation are also explained

Keywords

expert systems; neural nets; power generation reliability; power system analysis computing; power transmission reliability; artificial neural network; complex modelling; expert system; low accuracy; power systems reliability evaluation; short training times; Artificial neural networks; Computational modeling; Equations; Expert systems; Frequency; Power generation; Power system analysis computing; Power system modeling; Power system reliability; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.744545

Filename

744545