ANFIS-based maximum power point tracking control of PV modules with DC-DC converters

Yuan Ting Chu; Li Qiang Yuan; Hsin Han Chiang

doi:10.1109/ICEMS.2015.7385123

ANFIS-based maximum power point tracking control of PV modules with DC-DC converters

Yuan Ting Chu
, Li Qiang Yuan
, Hsin Han Chiang

研究成果: 書貢獻/報告類型 › 會議論文篇章

8 引文斯高帕斯（Scopus）

摘要

This paper proposes an adaptive neural-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) system for a photovoltaic (PV) power generating system in standalone operation. To extract the maximum power, the DC-DC buck/boost converter is connected between the PV module and the load. The proposed ANFIS-based MPPT controller performs the fast dynamic response with high accuracy. With the test under varying load conditions, experimental results are provided to validate our approach.

原文	英語
主出版物標題	2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	692-697
頁數	6
ISBN（電子）	9781479988044
DOIs	https://doi.org/10.1109/ICEMS.2015.7385123
出版狀態	已發佈 - 2016 1月 18
對外發佈	是
事件	18th International Conference on Electrical Machines and Systems, ICEMS 2015 - Pattaya City, 泰国持續時間: 2015 10月 25 → 2015 10月 28

出版系列

名字	2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015

會議

會議	18th International Conference on Electrical Machines and Systems, ICEMS 2015
國家/地區	泰国
城市	Pattaya City
期間	2015/10/25 → 2015/10/28

UN SDG

此研究成果有助於以下永續發展目標

SDG 7 可負擔的潔淨能源

ASJC Scopus subject areas

能源工程與電力技術
電氣與電子工程
機械工業

存取文件

10.1109/ICEMS.2015.7385123

其它文件與鏈接

引用此

Chu, Y. T., Yuan, L. Q., & Chiang, H. H. (2016). ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. 於 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015 (頁 692-697). 文章 7385123 (2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2015.7385123

ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. / Chu, Yuan Ting; Yuan, Li Qiang; Chiang, Hsin Han.
2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 692-697 7385123 (2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Chu, YT, Yuan, LQ & Chiang, HH 2016, ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. 於 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015., 7385123, 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015, Institute of Electrical and Electronics Engineers Inc., 頁 692-697, 18th International Conference on Electrical Machines and Systems, ICEMS 2015, Pattaya City, 泰国, 2015/10/25. https://doi.org/10.1109/ICEMS.2015.7385123

Chu YT, Yuan LQ, Chiang HH. ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. 於 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 692-697. 7385123. (2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015). doi: 10.1109/ICEMS.2015.7385123

Chu, Yuan Ting ; Yuan, Li Qiang ; Chiang, Hsin Han. / ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 頁 692-697 (2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015).

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title = "ANFIS-based maximum power point tracking control of PV modules with DC-DC converters",

abstract = "This paper proposes an adaptive neural-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) system for a photovoltaic (PV) power generating system in standalone operation. To extract the maximum power, the DC-DC buck/boost converter is connected between the PV module and the load. The proposed ANFIS-based MPPT controller performs the fast dynamic response with high accuracy. With the test under varying load conditions, experimental results are provided to validate our approach.",

keywords = "Photovoltaic (PV) systems, artificial intelligence, maximum power point tracking (MPPT), neural fuzzy systems, solar power generation",

author = "Chu, \{Yuan Ting\} and Yuan, \{Li Qiang\} and Chiang, \{Hsin Han\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 18th International Conference on Electrical Machines and Systems, ICEMS 2015 ; Conference date: 25-10-2015 Through 28-10-2015",

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N2 - This paper proposes an adaptive neural-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) system for a photovoltaic (PV) power generating system in standalone operation. To extract the maximum power, the DC-DC buck/boost converter is connected between the PV module and the load. The proposed ANFIS-based MPPT controller performs the fast dynamic response with high accuracy. With the test under varying load conditions, experimental results are provided to validate our approach.

AB - This paper proposes an adaptive neural-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) system for a photovoltaic (PV) power generating system in standalone operation. To extract the maximum power, the DC-DC buck/boost converter is connected between the PV module and the load. The proposed ANFIS-based MPPT controller performs the fast dynamic response with high accuracy. With the test under varying load conditions, experimental results are provided to validate our approach.

KW - Photovoltaic (PV) systems

KW - artificial intelligence

KW - maximum power point tracking (MPPT)

KW - neural fuzzy systems

KW - solar power generation

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M3 - Conference contribution

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BT - 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

ANFIS-based maximum power point tracking control of PV modules with DC-DC converters

摘要

出版系列

會議

UN SDG

ASJC Scopus subject areas

存取文件

其它文件與鏈接

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