DocumentCode
535658
Title
Power systems reliability evaluation using probabilistic load flows methods
Author
Coroiu, Felicia ; Dondera, Daniel ; Velicescu, Corneliu ; Vuc, Gheorghe
Author_Institution
Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
1
Lastpage
5
Abstract
The paper presents a new method to evaluate the loss of load probability and expected energy not supply, based for the convolution of probability distribution functions for load flow using the linear load flow equations. It uses the concept of equivalent branches to the systems nodes and their probability distribution functions. The generation units are considered trough a binomial probabilistic distribution while the loads trough a normal one. The equivalent probability distribution functions is estimates only by a sum of weighted normal distribution with means and variances computed from means of loads and impulse values, respectively sum of variances of loads. The loss of load probability and expected energy not supply are estimated only with Gauss Laplace integral functions.
Keywords
Laplace equations; load flow; power system reliability; statistical distributions; Gauss Laplace integral functions; binomial probabilistic distribution; linear load flow equations; load probability loss; power system reliability evaluation; probabilistic load flow methods; probability distribution functions; weighted normal distribution; Convolution; Estimation; Gaussian distribution; Generators; Load flow; Probabilistic logic; Random variables; Gram Charlier series; convolution; cumulative distribution function (CDF); expected energy not supply (EENS); loss of load probability (LOLP); probabilistic load flow (PLF); probability distribution function (PDF);
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location
Cardiff, Wales
Print_ISBN
978-1-4244-7667-1
Type
conf
Filename
5649464
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