Midpoint-Radius Interval-based Method to Deal with Uncertainty in Power Flow Analysis

Manuel Marin 1 Federico Milano 2 David Defour 3
3 DALI - Digits, Architectures et Logiciels Informatiques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, UPVD - Université de Perpignan Via Domitia
Abstract : This paper presents a novel method based on midpoint-radius interval arithmetic to deal with uncertainties in the power ow problem. The proposed technique aims at nding a balance between accuracy and computational e ciency. It relies on an original decoupling of the interval power ow equations into mid- point and radius parts. This representation allows avoiding the factorisation of an interval Jacobian matrix. Moreover, the proposed formulation is combined with an optimisation problem in order to prevent overestimation of the inter- val solution while preserving uncertainty. The proposed technique proves to be more e cient than existing approaches based on interval and a ne arithmetic and as accurate as the conventional Monte Carlo method.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01475577
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Submitted on : Thursday, February 23, 2017 - 7:07:48 PM
Last modification on : Tuesday, February 12, 2019 - 11:28:36 AM
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Manuel Marin, Federico Milano, David Defour. Midpoint-Radius Interval-based Method to Deal with Uncertainty in Power Flow Analysis. Electric Power Systems Research, Elsevier, 2017, 147, pp.81-87. ⟨10.1016/j.epsr.2017.02.017⟩. ⟨lirmm-01475577⟩

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