2015
DOI: 10.11591/ijpeds.v6.i4.pp888-896
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Utlization Cat Swarm Optimization Algorithm for Selected Harmonic Elemination in Current Source Inverter

Abstract: The voltage source inverter (VSI) and Current source inverter (CSI) are two types of traditional power inverter topologies.In this paper selective harmonic elimination (SHE) Algorithm was impelemented to CSI and results has been investigated. Cat swarm (CSO) optimization is a new meta-heuristic algorithm which has been used in order to tuning switching parameters in optimized value.Objective fuction is reduction of total harmonic distortion(THD) in inverters output currents.All of simulation has been carried o… Show more

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Cited by 5 publications
(5 citation statements)
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“…CSO successfully optimized the switching parameters of CSI and hence minimized the total harmonic distortion [52] Applied both CSO, PCSO, PSO-CFA, and ACO-ABC on distributed generation units on distribution networks IEEE 33-bus and IEEE 69-bus distribution systems were used in the simulation experiments and CSO outperformed the other algorithms [53] Applied MCSO on MPPT to achieve global maximum power point (GMPP) tracking MCSO outperformed PSO, MPSO, DE, GA, and HC algorithms [54] Applied BCSO to optimize the location of phasor measurement units and reduce the required number of PMUs IEEE 14-bus and IEEE 30-bus test systems were used in the simulation. BCSO outperformed BPSO, generalized integer linear programming, and effective data structure-based algorithm [55] Used CSO algorithm to identify the parameters of single and double diode models in solar cell system CSO outperformed PSO, GA, SA, PS, Newton, HS, GGHS, IGHS, ABSO, DE, and LMSA [56] Applied CSO and SVM to classify students' facial expression e results show 100% classification accuracy for the selected 9 face expressions [39] Applied CSO and SVM to classify students' facial expression e system achieved satisfactory results [40] Applied CSO-GA-PSOSVM to classify students' facial expression e system achieved 99% classification accuracy [23] Applied CSO, HCSO and ICSO in block matching for efficient motion estimation e system reduced computational complexity and provided faster convergence [16,17,57] Used CSO algorithm to retrieve watermarks similar to the original copy CSO outperformed PSO and PSO time-varying inertia weight factor algorithms [58,59] Sabah used EHCSO in an object-tracking system to obtain further efficiency and accuracy e system yielded desirable results in terms of efficiency and accuracy [60] Used BCSO as a band selection method for hyperspectral images BCSO outperformed PSO [61] Used CSO and multilevel thresholding for image segmentation CSO outperformed PSO [62] Used CSO and multilevel thresholding for image segmentation PSO outperformed CSO [63] Used CSO, ANN and wavelet entropy to build an AUD identification system.…”
Section: Purpose Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…CSO successfully optimized the switching parameters of CSI and hence minimized the total harmonic distortion [52] Applied both CSO, PCSO, PSO-CFA, and ACO-ABC on distributed generation units on distribution networks IEEE 33-bus and IEEE 69-bus distribution systems were used in the simulation experiments and CSO outperformed the other algorithms [53] Applied MCSO on MPPT to achieve global maximum power point (GMPP) tracking MCSO outperformed PSO, MPSO, DE, GA, and HC algorithms [54] Applied BCSO to optimize the location of phasor measurement units and reduce the required number of PMUs IEEE 14-bus and IEEE 30-bus test systems were used in the simulation. BCSO outperformed BPSO, generalized integer linear programming, and effective data structure-based algorithm [55] Used CSO algorithm to identify the parameters of single and double diode models in solar cell system CSO outperformed PSO, GA, SA, PS, Newton, HS, GGHS, IGHS, ABSO, DE, and LMSA [56] Applied CSO and SVM to classify students' facial expression e results show 100% classification accuracy for the selected 9 face expressions [39] Applied CSO and SVM to classify students' facial expression e system achieved satisfactory results [40] Applied CSO-GA-PSOSVM to classify students' facial expression e system achieved 99% classification accuracy [23] Applied CSO, HCSO and ICSO in block matching for efficient motion estimation e system reduced computational complexity and provided faster convergence [16,17,57] Used CSO algorithm to retrieve watermarks similar to the original copy CSO outperformed PSO and PSO time-varying inertia weight factor algorithms [58,59] Sabah used EHCSO in an object-tracking system to obtain further efficiency and accuracy e system yielded desirable results in terms of efficiency and accuracy [60] Used BCSO as a band selection method for hyperspectral images BCSO outperformed PSO [61] Used CSO and multilevel thresholding for image segmentation CSO outperformed PSO [62] Used CSO and multilevel thresholding for image segmentation PSO outperformed CSO [63] Used CSO, ANN and wavelet entropy to build an AUD identification system.…”
Section: Purpose Resultsmentioning
confidence: 99%
“…Computational Intelligence and Neuroscience selective harmonic elimination (SHE) in corporation with CSO algorithm and then applied it on current source inverter (CSI) [52]. e role of the CSO algorithm was to optimize and tune the switching parameters and minimize total harmonic distortion.…”
mentioning
confidence: 99%
“…CSO outperformed PSO [34] On a current source inverter, the CSO and selective harmonic elimination (SHE) algorithms were used (CSI) CSO was effective in optimizing the CSI switching parameters, lowering total harmonic distortion. [35] CSO and SVM were used to classify students' facial expressions.…”
Section: Purposementioning
confidence: 99%
“…The Current Source Inverter (CSI) is a conventional kind of power inverter topologies. Hosseinnia and Farsadi combined Selective Harmonic Elimination (SHE) in corporation with CSO algorithm and then applied it on Current Source Inverter (CSI) [53]. The role of the CSO algorithm was to optimize and tune the switching parameters and minimize total harmonic distortion.…”
Section: Electricalmentioning
confidence: 99%
“…CSO successfully optimized the switching parameters of CSI and hence minimized the total harmonic distortion [53] Applied both CSO, PCSO, PSO-CFA, and ACO-ABC on distributed generation units on distribution networks IEEE 33-bus and IEEE 69-bus distribution systems were used in the simulation experiments and CSO outperformed the other algorithms [54] Applied MCSO on MPPT to achieve global maximum power point (GMPP) tracking MCSO outperformed PSO, MPSO, DE, GA and HC algorithms [55] Applied BCSO to optimize the location of phasor measurement units and reduce the required number of PMUs IEEE 14-bus and IEEE 30-bus test system was used in the simulation. BCSO outperformed BPSO, Generalized Integer Linear Programming, and Effective Data Structure Based Algorithm [56] used CSO algorithm to identify the parameters of single and double diode models in the solar cell system CSO outperformed PSO, GA, SA, PS, Newton, HS, GGHS, IGHS, ABSO, DE, and LMSA [57] Applied CSO and SVM to classify students' facial expression…”
Section: Computer Vision: Facial Emotionmentioning
confidence: 99%