Proceedings of the 7th International Power Electronics and Motion Control Conference 2012
DOI: 10.1109/ipemc.2012.6259320
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Multi-objective optimal design for passive power filters in hybrid power filter system based on multi-island particle swarm optimization

Abstract: The traditional particle swarm optimization algorithm (particle swarm optimization, PSO) was improved and a multiisland particle swarm optimization algorithm was proposed in this paper. The random values of weight coefficient were taken of the multi-island particle swarm optimization algorithm. It takes the harmonic distortion, capacity of reactive power compensation and the original investment as three objectives, and uses multiisland particle swarm optimization algorithm to design the PPF parameters of Hybri… Show more

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Cited by 10 publications
(4 citation statements)
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“…Besides the advantage of being simple and cheap and highly reliable, there is the disadvantage of the need for a new design for every new case, the filters should be tuned to a specific harmonic to act correctly and may lead to over voltage during low power demand. It is worth noting that these filters are used nowadays in some application beside disadvantages because of being simple design and coseffectiveResearch in the application and novel methods to design of this filter is still going on in three phase and single phase power systems, although most of them are some hybrid applications of filters to reduce the costs and increase the reliability of the system [33,[47][48][49][50][51][52][53][54][55][56].…”
Section: Passive Power Filtersmentioning
confidence: 99%
“…Besides the advantage of being simple and cheap and highly reliable, there is the disadvantage of the need for a new design for every new case, the filters should be tuned to a specific harmonic to act correctly and may lead to over voltage during low power demand. It is worth noting that these filters are used nowadays in some application beside disadvantages because of being simple design and coseffectiveResearch in the application and novel methods to design of this filter is still going on in three phase and single phase power systems, although most of them are some hybrid applications of filters to reduce the costs and increase the reliability of the system [33,[47][48][49][50][51][52][53][54][55][56].…”
Section: Passive Power Filtersmentioning
confidence: 99%
“…On the one hand, there are traditional methods based on the computation of normal filter parameters, and on the other hand, there are optimization methods based on the defined optimization function and conditions. The most utilized optimization methods are: genetic algorithms [23][24][25], response surface methodology [26,27], swarm optimization [28], Particle Swarm Optimization (PSO) [29], bee colony optimization [30], Mixed Integer Distributed ant Colony Optimization (MIDACO) [31], probabilistic approach [32], Multi-island Particle Swarm optimization (MIPSO) [33], Ant Colony Optimization (ACO) [34], simulated annealing [35], optimal Multi-objective planning [36], Lagrange interpolation method [37], etc. These techniques can be accompanied by constraints (e.g., maximum voltage capacitor and reactive power etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Another algorithm is also commonly used for HAPF design, called the Particle Swarm Optimization (PSO) algorithm. The PSO algorithm is used to design an APF in a four-wire three-phase system in case of balanced and unbalanced loads but only consider to design for PPFs and optimization for the APF but not for the HAPF [16][17][18][19]. Another study to multi-objective design on HAPF is using an ant colony and bat algorithm [20,21] but only aslo multi-objective optimization design for PPFs.…”
Section: Introductionmentioning
confidence: 99%