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Electrical Engineering
Erschienen in: Electrical Engineering 3/2014

01.09.2014 | Original Paper

A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators

verfasst von: F. J. Ruiz-Rodriguez, F. Jurado, M. Gomez-Gonzalez

Erschienen in: Electrical Engineering | Ausgabe 3/2014

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Abstract

This paper presents a new hybrid method that combines jumping frog and particle swarm optimization and probabilistic three-phase load flow to improve unbalanced voltages in distribution systems with photovoltaic generators. This paper applies a new three-phase probabilistic load flow based on the Monte Carlo simulation. The voltage regulation is one of the principal problems to be addressed in photovoltaic distributed generation. The proposed method defines the nodes where photovoltaic grid-connected system is connected and their mean power output minimizing the maximum value of voltage unbalances at the nodes. Numerical applications are presented using the unbalanced distribution system IEEE 13-nodes and including photovoltaic generators at several nodes. The results obtained show the decrease in the unbalance factor due to the presence of distributed generation.
Vorheriger Artikel A revisit to the fractional-order hold device
Nächster Artikel Current density in two solid parallel conductors and their impedance

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Metadaten
Titel
A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
verfasst von
F. J. Ruiz-Rodriguez
F. Jurado
M. Gomez-Gonzalez
Publikationsdatum
01.09.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 3/2014
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-014-0295-0

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