Title :
Evaluation of power systems reliability by an artificial neural network
Author :
Amjady, Nima ; Ehsan, Mehdi
Author_Institution :
Semnan Univ., Iran
fDate :
2/1/1999 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on