Power Flow Analysis under Uncertainty using Symmetric Fuzzy Arithmetic

Manuel Marin; David Defour; Federico Milano

doi:10.1109/PESGM.2014.6939274

Power Flow Analysis under Uncertainty using Symmetric Fuzzy Arithmetic

Manuel Marin ¹ David Defour ¹ Federico Milano ²

1 DALI - Digits, Architectures et Logiciels Informatiques

LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, UPVD - Université de Perpignan Via Domitia

2 UCD - University College Dublin [Dublin]

Abstract : This paper present a novel approach using symmetric fuzzy numbers to deal with uncertainty in power system analysis. Special attention is put on reducing overestimation due to conservatism inherent in fuzzy arithmetic. The midpoint-radius interval representation and a linear programming optimization problem are used in order to enhance efficiency and accuracy, respectively. The proposed method is tested over the IEEE 14-bus test system and compared with other techniques available in the literature. The case study that the proposed method yields accurate results at a reduced computational cost.

Keywords : Equations Power systems Probabilistic logic Symmetric matrices Uncertainty Vectors Jacobian matrices

Type de document :

Communication dans un congrès

PES General Meeting 2014 | Conference & Exposition, Jul 2014, National Harbor, MD, United States. IEEE, pp.1-5, 2014, 〈10.1109/PESGM.2014.6939274〉

Domaine :

Informatique [cs] / Architectures Matérielles [cs.AR]

Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01206373
Contributeur : David Defour <>
Soumis le : lundi 28 septembre 2015 - 21:37:00
Dernière modification le : mardi 10 octobre 2017 - 11:10:50

Power Flow Analysis under Uncertainty using Symmetric Fuzzy Arithmetic

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