Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter
Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT con...
Ausführliche Beschreibung
Autor*in: |
Chao, Paul C.-P. [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Anmerkung: |
© Springer-Verlag 2012 |
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Übergeordnetes Werk: |
Enthalten in: Microsystem technologies - Springer-Verlag, 1994, 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 |
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Übergeordnetes Werk: |
volume:18 ; year:2012 ; number:9-10 ; day:09 ; month:05 ; pages:1267-1281 |
Links: |
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DOI / URN: |
10.1007/s00542-012-1518-9 |
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Katalog-ID: |
OLC2034933117 |
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10.1007/s00542-012-1518-9 doi (DE-627)OLC2034933117 (DE-He213)s00542-012-1518-9-p DE-627 ger DE-627 rakwb eng 620 VZ 510 VZ Chao, Paul C.-P. verfasserin aut Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2012 Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller Chen, Wei-Dar aut Chang, Chih-Kuo aut Enthalten in Microsystem technologies Springer-Verlag, 1994 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 (DE-627)182644278 (DE-600)1223008-X (DE-576)045302146 0946-7076 nnns volume:18 year:2012 number:9-10 day:09 month:05 pages:1267-1281 https://doi.org/10.1007/s00542-012-1518-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_20 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2048 GBV_ILN_4277 GBV_ILN_4335 AR 18 2012 9-10 09 05 1267-1281 |
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10.1007/s00542-012-1518-9 doi (DE-627)OLC2034933117 (DE-He213)s00542-012-1518-9-p DE-627 ger DE-627 rakwb eng 620 VZ 510 VZ Chao, Paul C.-P. verfasserin aut Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2012 Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller Chen, Wei-Dar aut Chang, Chih-Kuo aut Enthalten in Microsystem technologies Springer-Verlag, 1994 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 (DE-627)182644278 (DE-600)1223008-X (DE-576)045302146 0946-7076 nnns volume:18 year:2012 number:9-10 day:09 month:05 pages:1267-1281 https://doi.org/10.1007/s00542-012-1518-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_20 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2048 GBV_ILN_4277 GBV_ILN_4335 AR 18 2012 9-10 09 05 1267-1281 |
allfields_unstemmed |
10.1007/s00542-012-1518-9 doi (DE-627)OLC2034933117 (DE-He213)s00542-012-1518-9-p DE-627 ger DE-627 rakwb eng 620 VZ 510 VZ Chao, Paul C.-P. verfasserin aut Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2012 Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller Chen, Wei-Dar aut Chang, Chih-Kuo aut Enthalten in Microsystem technologies Springer-Verlag, 1994 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 (DE-627)182644278 (DE-600)1223008-X (DE-576)045302146 0946-7076 nnns volume:18 year:2012 number:9-10 day:09 month:05 pages:1267-1281 https://doi.org/10.1007/s00542-012-1518-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_20 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2048 GBV_ILN_4277 GBV_ILN_4335 AR 18 2012 9-10 09 05 1267-1281 |
allfieldsGer |
10.1007/s00542-012-1518-9 doi (DE-627)OLC2034933117 (DE-He213)s00542-012-1518-9-p DE-627 ger DE-627 rakwb eng 620 VZ 510 VZ Chao, Paul C.-P. verfasserin aut Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2012 Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller Chen, Wei-Dar aut Chang, Chih-Kuo aut Enthalten in Microsystem technologies Springer-Verlag, 1994 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 (DE-627)182644278 (DE-600)1223008-X (DE-576)045302146 0946-7076 nnns volume:18 year:2012 number:9-10 day:09 month:05 pages:1267-1281 https://doi.org/10.1007/s00542-012-1518-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_20 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2048 GBV_ILN_4277 GBV_ILN_4335 AR 18 2012 9-10 09 05 1267-1281 |
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10.1007/s00542-012-1518-9 doi (DE-627)OLC2034933117 (DE-He213)s00542-012-1518-9-p DE-627 ger DE-627 rakwb eng 620 VZ 510 VZ Chao, Paul C.-P. verfasserin aut Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter 2012 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2012 Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller Chen, Wei-Dar aut Chang, Chih-Kuo aut Enthalten in Microsystem technologies Springer-Verlag, 1994 18(2012), 9-10 vom: 09. Mai, Seite 1267-1281 (DE-627)182644278 (DE-600)1223008-X (DE-576)045302146 0946-7076 nnns volume:18 year:2012 number:9-10 day:09 month:05 pages:1267-1281 https://doi.org/10.1007/s00542-012-1518-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_20 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2048 GBV_ILN_4277 GBV_ILN_4335 AR 18 2012 9-10 09 05 1267-1281 |
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author |
Chao, Paul C.-P. |
spellingShingle |
Chao, Paul C.-P. ddc 620 ddc 510 misc Output Voltage misc Fuzzy Controller misc Fuzzy Logic Control misc Maximum Power Point Tracking misc Maximum Power Point Tracking Controller Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter |
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620 VZ 510 VZ Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter Output Voltage Fuzzy Controller Fuzzy Logic Control Maximum Power Point Tracking Maximum Power Point Tracking Controller |
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ddc 620 ddc 510 misc Output Voltage misc Fuzzy Controller misc Fuzzy Logic Control misc Maximum Power Point Tracking misc Maximum Power Point Tracking Controller |
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Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter |
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Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter |
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Chao, Paul C.-P. |
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Chao, Paul C.-P. Chen, Wei-Dar Chang, Chih-Kuo |
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maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage dc–dc converter |
title_auth |
Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter |
abstract |
Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. © Springer-Verlag 2012 |
abstractGer |
Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. © Springer-Verlag 2012 |
abstract_unstemmed |
Abstract This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600 VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90 %, even up to 96 %. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output. © Springer-Verlag 2012 |
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Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter |
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