RT Journal Article
T1 A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators
A1 Ruiz Rodríguez, Francisco Javier
A1 Jurado, Francisco
A1 Gómez González, M.
AB This paper presents a new hybrid method that combines JFPSO (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 PVGCS (Photovoltaic Grid-Connected System) are 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 of the unbalance factor due to the presence of distributed generation.
PB Springer
SN 0948-7921
SN 1432-0487 (electrónico)
YR 2014
FD 2014
LK https://hdl.handle.net/10272/24057
UL https://hdl.handle.net/10272/24057
LA eng
NO Ruiz-Rodriguez, F.J., Jurado, F. & Gomez-Gonzalez, M. A hybrid method combining JFPSO and probabilistic three-phase load flow for improving unbalanced voltages in distribution systems with photovoltaic generators. Electr Eng 96, 275–286 (2014). https://doi.org/10.1007/s00202-014-0295-0
DS Repositorio Institucional de la Universidad de Huelva
RD 29 may 2026