2010
DOI: 10.1109/tpwrd.2009.2036180
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A New Approach for Allocation and Sizing of Multiple Active Power-Line Conditioners

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Cited by 71 publications
(55 citation statements)
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“…Because the nominal current influences the compensator price, so in many works it has just been assumed that the optimization of compensator sizes leads also to the cost reduction and the economic goal is automatically taken into account [14,16,20,21]. This paper shows that such simplified approach could lead to suboptimal solutions.…”
Section: Introductionmentioning
confidence: 99%
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“…Because the nominal current influences the compensator price, so in many works it has just been assumed that the optimization of compensator sizes leads also to the cost reduction and the economic goal is automatically taken into account [14,16,20,21]. This paper shows that such simplified approach could lead to suboptimal solutions.…”
Section: Introductionmentioning
confidence: 99%
“…Significantly better results can be obtained when parallel or series active power filters (APF) [1], hybrid filters or UPFC (Unified Power Flow Controller) systems [2] are applied to limit higher harmonics. The optimal sizing and allocation of compensators have been considered for passive [3][4][5][6] and active or hybrid filters [7][8][9][10][11][12][13][14][15]. This paper presents a solution of the problem for active power filters.…”
Section: Introductionmentioning
confidence: 99%
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“…The capacity is currently designed based on the configuration of the charger and the total harmonic distortion of the current, and then corrected by a safety factor [22]. However, the existing method cannot determine the safety factor accurately because the interaction between the harmonic current and harmonic voltage of the charging station is not considered, and an accurate method of selecting the safety factor has not been proposed.…”
Section: Introductionmentioning
confidence: 99%
“…Among the AI techniques, evolutionary computing methods such as genetic algorithm (GA) [12], particle swarm optimization (PSO) [13], bacterial foraging technique [14], ant colony optimization [15] and tabu search [16] have been reported to produce superior results. However, one common drawback of these techniques lies in the huge computing task involved in obtaining the solution.…”
Section: Introductionmentioning
confidence: 99%