Discrete convolution in generating capacity reliability evaluation-LOLE calculations and uncertainty aspects

Author

Da Silva, A. M Leite ; Blanco, F. A F Pazo ; Coelho, J.

Author_Institution

Dept. of Electr. Eng., Catholic Univ. of Rio de Janiero, Brazil

Volume

3

Issue

4

fYear

1988

fDate

11/1/1988 12:00:00 AM

Firstpage

1616

Lastpage

1624

Abstract

The authors present a practical and general method based on discrete convolution techniques for evaluating the expectations and variance of the loss of load indices for a single-area power system by treating forced outage rates and peak load forecasts as random variables with specified means and variances. The proposed method easily accounts for partial forced outage rates associated with unit derated states, without any restrictions. The proposed algorithm is applied to typical generating systems, including the IEEE Reliability Test System and the Brazilian South/Southeast System planned for completion in 1991

Keywords

power systems; reliability; Brazil; algorithm; discrete convolution; forced outage rates; generating capacity reliability; generating systems; load loss; peak load forecasts; power systems; Capacity planning; Character generation; Convolution; Load forecasting; Power generation; Power system modeling; Power system reliability; Random variables; System testing; Uncertainty;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.192972

Filename

192972