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Stochastic Monitoring of Distribution Networks Including Correlated Input Variables

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Feb 2013Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Power Systems, volume 28, pages 246-255 (issn: 0885-8950, eissn: 1558-0679,

Authors: Vladimir Terzija; Andrija T. Saric; Gustavo Valverde;

doi: 10.1109/tpwrs.2012.2201178

Stochastic Monitoring of Distribution Networks Including Correlated Input Variables

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Abstract

The evolving complexity of distribution networks with higher levels of uncertainties is a new challenge faced by system operators. This paper introduces the use of Gaussian mixtures models as input variables in stochastic power flow studies and state estimation of distribution networks. These studies are relevant for the efficient exploitation of renewable energy sources and the secure operation of network assets.

Related Organizations

University of Salford
United Kingdom
University of Liège
Belgium

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