NDLI: The mixture of generalized gaussian model for modeling of the load duration curve: Case of the Tunisian power system

Content Provider	IEEE Xplore Digital Library
Author	Mahmoud, M.O.M. Jaidane-Saidane, M. Souissi, J. Hizaoui, N.
Copyright Year	2008
Description	Author affiliation: Signals & Syst. Res. Unit, Ecole Nat. d'Ing. de Tunis, Tunis (Mahmoud, M.O.M.; Jaidane-Saidane, M.)
Abstract	This paper proposes a new estimation technique of the load duration curve (LDC) which is capable to estimate the LDC of any shape and form. In the paper we develop a probabilistic approach, to deal with the heterogeneity and variability of the load distribution based on the estimation of the hourly peak load distribution by mixture of generalized Gaussian distribution (MGG). The model has more flexibility to approximate and to adapt the shape of load data. The update of the model parameters is carried out using an extension of the expectation maximization (EM) algorithm. Numerical results, obtained from the Tunisian power system indicate that MGG technique is accurate, efficient and robust.
Starting Page	774
Ending Page	779
File Size	397706
Page Count	6
File Format	PDF
ISBN	9781424416325
DOI	10.1109/MELCON.2008.4618529
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-05
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load modeling Shape Estimation Mathematical model Power systems Data models Equations EM algorithm Load Duration Curve longterm power generation scheduling power system planning Mixture
Content Type	Text
Resource Type	Article

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