2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO) 2015
DOI: 10.1109/eesco.2015.7253909
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Optimal reactive power dispatch using particle swarm optimization in deregulated environment

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Cited by 9 publications
(3 citation statements)
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“…The particle swarm optimization algorithm (PSO) was discovered by James Kennedy and Russell C. Eberhart in 1995 [13,14]. This algorithm is inspired by simulation of social psychological expression of birds and fish.…”
Section: Particle Swarm Optimizationmentioning
confidence: 99%
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“…The particle swarm optimization algorithm (PSO) was discovered by James Kennedy and Russell C. Eberhart in 1995 [13,14]. This algorithm is inspired by simulation of social psychological expression of birds and fish.…”
Section: Particle Swarm Optimizationmentioning
confidence: 99%
“…The bus voltage magnitudes are maintained within 0.9 to 1.1 p.u. Table 2 shows the penalty factors of the fitness function used in (13). The basic parameters of PSO algorithm are shown in Table 3.…”
Section: Parameters Of Pso Based Orpdmentioning
confidence: 99%
“…Since it is highly related to the way how the active and reactive power flow through a give grid topology, the optimal reactive power management is a particular form of optimal power flow (OPF) and a subject of remarkable research, which has immense significance on the security and economical operation of the power systems (e.g. by minimizing losses and ensuring fulfilment of technical constraints) [5], such as the control and optimization for operation of wind power plants [6]. This paper proposes an approach that involves coordinated management of reactive sources based on an OPF formulation that accounts for non-linear power flow equations.…”
Section: Introductionmentioning
confidence: 99%