Title :
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
fDate :
2/1/1991 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on