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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/11487

Title: Application of particle swarm optimization to optimal power systems
???metadata.dc.creator???: Esmin, Ahmed Ali Abdalla
Lambert-Torres, Germano
Keywords: Computer algorithms
Evolutionary algorithms
Nonlinear optimization
Brownouts
Capacitors
Optimal power flow
Loss reduction
Particle swarm optimization (PSO)
Algoritmos computacionais
Algoritmos evolutivos
Otimização não linear
Energia elétrica – Racionamento
Capacitores
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.
URI: http://www.ijicic.org/ijicic-10-12075.pdf
http://repositorio.ufla.br/jspui/handle/1/11487
???metadata.dc.language???: en_US
Appears in Collections:DCC - Artigos publicados em periódicos

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