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

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. >

[1]  N.S. Rau,et al.  Expected Energy Production Costs by the Method of Moments , 1980, IEEE Transactions on Power Apparatus and Systems.

[2]  Y. B. Lee,et al.  Cumulant Based Probabilistic Power System Simulation Using Laguerre Polynomials , 1989, IEEE Power Engineering Review.

[3]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[4]  D. Gaver,et al.  A Comparison of Algorithms for Computing Power Generating System Reliability Indices , 1984, IEEE Transactions on Power Apparatus and Systems.

[5]  Edward Kahn,et al.  Accuracy of the Edgeworth Approximation for Lolp Calculations in Small Power Systems , 1982, IEEE Transactions on Power Apparatus and Systems.