2011
DOI: 10.1016/j.cnsns.2010.05.011
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A novel method for optimal capacitor placement and sizing in distribution systems with nonlinear loads and DG using GA

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Cited by 65 publications
(23 citation statements)
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“…Discrete capacitors and capacitors of the following sizes; 0.15, 0.3, 0.45, 0.6, 0.75, 0.9, 1.05 (MVar) have been used in this paper for optimization and the optimal capacitor value for each bus has been selected from the capacitors mentioned above [16].…”
Section: Parallel Capacitors Size Constraintsmentioning
confidence: 99%
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“…Discrete capacitors and capacitors of the following sizes; 0.15, 0.3, 0.45, 0.6, 0.75, 0.9, 1.05 (MVar) have been used in this paper for optimization and the optimal capacitor value for each bus has been selected from the capacitors mentioned above [16].…”
Section: Parallel Capacitors Size Constraintsmentioning
confidence: 99%
“…The research that has been carried out commonly uses a constant power load, so the dependence of the load on the bus voltage has been neglected [14,15], this is despite the fact that in many real situations we have different types of load models such as the industrial, commercial and residential loads, these loads are closely associated with the bus voltage. Although the problem of harmonic pollution has been taken into account in different researches regarding the optimal placement of DG units and the optimal placement of capacitor banks [16,17] but rarely any attention has been paid to the effect of the harmonics on the simultaneous placement of DG units and capacitor banks in several studies that have been done.…”
Section: Introductionmentioning
confidence: 99%
“…For example, [19][20][21][22][23][24][25] are samples of investigating capacitor placement in the presence of distributed generation, but these papers did not distinguish the kind of distributed generation and did not survey power quality as such. In this paper, first harmful effects of distributed generation on system power quality are shown by applying several experiments.…”
Section: Introductionmentioning
confidence: 99%
“…The most used artificial intelligences to solve OLSC problem are Evolutionary Algorithm (EA), Swarm Intelligence Algorithm (SIA), Neural Networks (NNs) and fuzzy sets. Also, in [9][10][11], GA or its improved branches were suggested to solve optimal capacitor placement. Main problem of GA is low convergence velocity, which authors of [12] have claimed that this problem is declined by methods based on the reduction of the search space of GAs or based on micro-GAs.…”
Section: Introductionmentioning
confidence: 99%