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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	692-697
Number of pages	6
ISBN (Electronic)	9781479988044
DOIs	https://doi.org/10.1109/ICEMS.2015.7385123
Publication status	Published - 2016 Jan 18
Externally published	Yes
Event	18th International Conference on Electrical Machines and Systems, ICEMS 2015 - Pattaya City, Thailand Duration: 2015 Oct 25 → 2015 Oct 28

Publication series

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

Conference

Conference	18th International Conference on Electrical Machines and Systems, ICEMS 2015
Country/Territory	Thailand
City	Pattaya City
Period	2015/10/25 → 2015/10/28

Keywords

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

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICEMS.2015.7385123

Cite this

Chu, Y. T., Yuan, L. Q., & Chiang, H. H. (2016). ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. In 2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015 (pp. 692-697). Article 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chu, YT, Yuan, LQ & Chiang, HH 2016, ANFIS-based maximum power point tracking control of PV modules with DC-DC converters. in 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., pp. 692-697, 18th International Conference on Electrical Machines and Systems, ICEMS 2015, Pattaya City, Thailand, 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. In 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. pp. 692-697 (2015 18th International Conference on Electrical Machines and Systems, ICEMS 2015).

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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.",

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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.

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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