A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

Xingshuo Li; Huiqing Wen

doi:10.1109/IPEMC.2016.7512522

A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

Xingshuo Li
, Huiqing Wen

Academy of JITRI

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.

Original language	English
Title of host publication	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1550-1555
Number of pages	6
ISBN (Electronic)	9781509012107
DOIs	https://doi.org/10.1109/IPEMC.2016.7512522
Publication status	Published - 13 Jul 2016
Event	8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China Duration: 22 May 2016 → 26 May 2016

Publication series

Name	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Conference

Conference	8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/Territory	China
City	Hefei
Period	22/05/16 → 26/05/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Maximum power point tracking (MPPT)
beta parameter
fuzzy logic controller(FLC)
photovoltaic (PV) system

Access to Document

10.1109/IPEMC.2016.7512522

Cite this

Li, X., & Wen, H. (2016). A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems. In 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 (pp. 1550-1555). Article 7512522 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPEMC.2016.7512522

Li, Xingshuo ; Wen, Huiqing. / A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems. 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1550-1555 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016).

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title = "A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems",

abstract = "This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.",

keywords = "Maximum power point tracking (MPPT), beta parameter, fuzzy logic controller(FLC), photovoltaic (PV) system",

author = "Xingshuo Li and Huiqing Wen",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 ; Conference date: 22-05-2016 Through 26-05-2016",

year = "2016",

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language = "English",

series = "2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016",

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Li, X & Wen, H 2016, A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems. in 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016., 7512522, 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1550-1555, 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, Hefei, China, 22/05/16. https://doi.org/10.1109/IPEMC.2016.7512522

A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems. / Li, Xingshuo; Wen, Huiqing.
2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1550-1555 7512522 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

AU - Li, Xingshuo

AU - Wen, Huiqing

PY - 2016/7/13

Y1 - 2016/7/13

N2 - This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.

AB - This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.

KW - Maximum power point tracking (MPPT)

KW - beta parameter

KW - fuzzy logic controller(FLC)

KW - photovoltaic (PV) system

UR - https://www.scopus.com/pages/publications/84983314902

U2 - 10.1109/IPEMC.2016.7512522

DO - 10.1109/IPEMC.2016.7512522

M3 - Conference Proceeding

AN - SCOPUS:84983314902

T3 - 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

SP - 1550

EP - 1555

BT - 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Y2 - 22 May 2016 through 26 May 2016

ER -

Li X, Wen H. A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems. In 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1550-1555. 7512522. (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016). doi: 10.1109/IPEMC.2016.7512522

A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

Abstract

Publication series

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UN SDGs

Keywords

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