RI UFLA (Universidade Federal de Lavras) >
DCC - Departamento de Ciência da Computação >
DCC - Artigos publicados em periódicos >
Please use this identifier to cite or link to this item:
|Title: ||Application of particle swarm optimization to optimal power systems|
|???metadata.dc.creator???: ||Esmin, Ahmed Ali Abdalla|
|Keywords: ||Computer algorithms|
Optimal power flow
Particle swarm optimization (PSO)
Otimização não linear
Energia elétrica – Racionamento
Enxame de partículas
|Publisher: ||ICIC International|
|Issue Date: ||May-2011|
|Citation: ||ESMIN A. A. A.; LAMBERT-TORRES, G. Application of particle swarm optimization to optimal power systems. International Journal of Innovative Computing, Information and Control, [S. l.], v. 8, n. 3A, p. 1705–1716, Mar. 2012.|
|Abstract: ||This paper presents the particle swarm optimization (PSO) algorithm for
solving the optimal distribution system reconfiguration problem for power loss minimization.
The proposed methodology determines control variable settings, such as the number
of shunts to be switched, for real power loss minimization in the transmission system.
The problem is formulated as a nonlinear optimization problem. The PSO is a relatively
new and powerful intelligent evolution algorithm for solving optimization problems. It is
a population-based approach. The proposed approach employs the PSO algorithm for the
optimal setting of optimal power flow (OPF) based on loss minimization (LM) function.
The proposed approach has been examined and tested on standard IEEE 14, IEEE 30 and
IEEE 118 bus test systems. The obtained results are compared with those using other
techniques in a previous work to evaluate the performance.|
|Appears in Collections:||DCC - Artigos publicados em periódicos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.