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dc.contributor.authorKozierski, Piotr
dc.contributor.authorLis, Marcin
dc.contributor.authorZiętkiewicz, Joanna
dc.identifier.citationKozierski P., Lis M., Ziętkiewicz J.: Particle Filter in State Vector Estimation Problem for Power System. Pomiary Automatyka Robotyka, No. 1, Vol. 18, 2014, pp. 71-76.en
dc.description.abstractParticle Filter is a tool, which has been used more frequently over the years. Calculations with using Particle Filter methods are very versatile (in comparison to the Kalman Filter), which can be used in high complex and nonlinear problems. Example of such a problem is the power system, where Particle Filter is used to state estimation of network parameters based on measurements. Paper presents theoretical basis regarding Particle Filter and power system state estimation. Results of experiment have shown that Particle Filter usually gives better outcome comparing to the Weighted Least Squares method. In extension Multi Probability Density Function Particle Filter is proposed, which improves obtained results so that they are always better than Weighted Least Squares method.en
dc.description.sponsorshipPoznan University of Technologyen
dc.publisherPrzemysłowy Instytut Automatyki i Pomiarów PIAPen
dc.rightsCreative Commons Uznanie autorstwa 3.0 Polskapl_PL
dc.subjectparticle filteren
dc.subjectstate observeren
dc.subjectstate estimationen
dc.subjectpower systemen
dc.subjectweighted least squaresen
dc.titleParticle Filter in State Vector Estimation Problem for Power Systemen
dc.title.alternativeWykorzystanie filtru cząsteczkowego do estymacji wektora stanu w sieci elektroenergetycznejen
dc.contributor.organizationPoznan University of Technology, Faculty of Electrical Engineeringen
dc.description.epersonPiotr Kozierski

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Creative Commons Uznanie autorstwa 3.0 Polska
Except where otherwise noted, this item's license is described as Creative Commons Uznanie autorstwa 3.0 Polska