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

5 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
出版狀態已發佈 - 2016 1月 18
對外發佈
事件18th International Conference on Electrical Machines and Systems, ICEMS 2015 - Pattaya City, 泰国
持續時間: 2015 10月 252015 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2015/10/252015/10/28

ASJC Scopus subject areas

  • 能源工程與電力技術
  • 電氣與電子工程
  • 機械工業

指紋

深入研究「ANFIS-based maximum power point tracking control of PV modules with DC-DC converters」主題。共同形成了獨特的指紋。

引用此