Evaluation of power systems reliability by an artificial neural network

被引：48

作者：

Amjady, N ^{[1
]}

Ehsan, M

机构：

[1] Semnan Univ, Semnan, Iran

[2] Sharif Univ Technol, Tehran, Iran

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1999年 / 14卷 / 01期

关键词：

reliability evaluation; artificial neural network; transmission system; generating unit;

D O I：

10.1109/59.744545

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 will be shown, need to 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 transmission system. Obtained results from this method for 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.

引用

页码：287 / 292

页数：6

共 25 条

[1] *ADV COMM, 1964, ADV COMM REP L4 OUT
[2] *AIEE SUBC APPL PR, 1960, AIEE T 3, V79, P1165
[3] AMJADY N, 1994, P IR C EL ENG ICEE, P32
[4] [Anonymous], 1979, IEEE T POWER AP SYST, V98, P2047, DOI 10.1109/TPAS.1979.319398
[5] [Anonymous], 3461973 IEEE
[6] TRANSMISSION SYSTEM RELIABILITY EVALUATION USING MARKOV PROCESSES
BILLINTO.R
BOLLINGE.KE
[J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1968, PA87 (02): : 538 - &
[7] Billinton R., 1970, POWER SYSTEM RELIABI
[8] BILLINTON R, GEN CAPACITY RELIABI
[9] BILLINTON R, 1971, IEEE WINT POW M
[10] BILLINTON R, 1967, T EIC, V10

← 1 2 3 →