A generalized continuous distribution approach for generating capacity reliability evaluation and its applications

Author

Alavi-Sereshki, M.M. ; Singh, Chanan

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

6

Issue

1

fYear

1991

fDate

2/1/1991 12:00:00 AM

Firstpage

16

Lastpage

22

Abstract

A generalized approach to the use of continuous distribution approximation for generating capacity reliability evaluation is presented. The well-known Gram-Charlier´s expression is a special case of this general formulation. Using this formulation, any continuous distribution function can be examined for its suitability for modeling generation systems. The results obtained by using two- and three-parameter gamma distribution functions with this approach are compared with those from the normal model or the Gram-Charlier expansion

Keywords

approximation theory; electric power generation; power systems; reliability; Gram-Charlier´s expression; approximation; gamma distribution functions; generalized continuous distribution approach; generating capacity reliability evaluation; modeling; power systems; Aggregates; Capacity planning; Distribution functions; Fourier transforms; Gaussian distribution; Load modeling; Power generation; Power system reliability; Probability density function; Probability distribution;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.131042

Filename

131042