Neural network based a two phase interleaved boost converter for photovoltaic system

Donny Radianto; Masahito Shoyama

doi:10.1109/ICRERA.2014.7016422

Neural network based a two phase interleaved boost converter for photovoltaic system

Donny Radianto, Masahito Shoyama

エネルギー応用システム工学

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

9 被引用数 (Scopus)

抄録

This paper presents Neural Network (NN) based A Two-Phase Interleaved Boost Converter (IBC) for Photovoltaic (PV) system. As known that this converter is the development of boost converter. In addition, it also functions to reduce output ripple current as well as to increase the output voltage of converter. This converter is driven by Pulse Width Modulation (PWM) which is governed by using controller based on NN. NN has two inputs including solar irradiance (G) and Temperature (T) and one output. The system is validated by a comparison between the proposed system with Fuzzy Logic Controller (FLC) in changing climate conditions. From the simulation results, the proposed system can provide higher voltage than FLC. In addition, the proposed system can shorten the steady state condition and can reduce voltage oscillations.

本文言語	英語
ホスト出版物のタイトル	3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	430-434
ページ数	5
ISBN（電子版）	9781479937950
DOI	https://doi.org/10.1109/ICRERA.2014.7016422
出版ステータス	出版済み - 1月 20 2014
イベント	3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014 - Milwaukee, 米国継続期間: 10月 19 2014 → 10月 22 2014

出版物シリーズ

名前	3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014

その他

その他	3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
国/地域	米国
City	Milwaukee
Period	10/19/14 → 10/22/14

!!!All Science Journal Classification (ASJC) codes

再生可能エネルギー、持続可能性、環境

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1109/ICRERA.2014.7016422

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引用スタイル

Radianto, D., & Shoyama, M. (2014). Neural network based a two phase interleaved boost converter for photovoltaic system. In 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014 (pp. 430-434). Article 7016422 (3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA.2014.7016422

Neural network based a two phase interleaved boost converter for photovoltaic system. / Radianto, Donny; Shoyama, Masahito.
3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 430-434 7016422 (3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

Radianto, D & Shoyama, M 2014, Neural network based a two phase interleaved boost converter for photovoltaic system. in 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014., 7016422, 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, Institute of Electrical and Electronics Engineers Inc., pp. 430-434, 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, Milwaukee, 米国, 10/19/14. https://doi.org/10.1109/ICRERA.2014.7016422

Radianto D, Shoyama M. Neural network based a two phase interleaved boost converter for photovoltaic system. In 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 430-434. 7016422. (3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014). doi: 10.1109/ICRERA.2014.7016422

Radianto, Donny ; Shoyama, Masahito. / Neural network based a two phase interleaved boost converter for photovoltaic system. 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 430-434 (3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014).

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abstract = "This paper presents Neural Network (NN) based A Two-Phase Interleaved Boost Converter (IBC) for Photovoltaic (PV) system. As known that this converter is the development of boost converter. In addition, it also functions to reduce output ripple current as well as to increase the output voltage of converter. This converter is driven by Pulse Width Modulation (PWM) which is governed by using controller based on NN. NN has two inputs including solar irradiance (G) and Temperature (T) and one output. The system is validated by a comparison between the proposed system with Fuzzy Logic Controller (FLC) in changing climate conditions. From the simulation results, the proposed system can provide higher voltage than FLC. In addition, the proposed system can shorten the steady state condition and can reduce voltage oscillations.",

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AB - This paper presents Neural Network (NN) based A Two-Phase Interleaved Boost Converter (IBC) for Photovoltaic (PV) system. As known that this converter is the development of boost converter. In addition, it also functions to reduce output ripple current as well as to increase the output voltage of converter. This converter is driven by Pulse Width Modulation (PWM) which is governed by using controller based on NN. NN has two inputs including solar irradiance (G) and Temperature (T) and one output. The system is validated by a comparison between the proposed system with Fuzzy Logic Controller (FLC) in changing climate conditions. From the simulation results, the proposed system can provide higher voltage than FLC. In addition, the proposed system can shorten the steady state condition and can reduce voltage oscillations.

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Neural network based a two phase interleaved boost converter for photovoltaic system

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出版物シリーズ

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!!!All Science Journal Classification (ASJC) codes

UN SDG

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