An intelligent FLC method for tracking the maximum power of photovoltaic systems

Abdullah M. Noman; Khaled E. Addoweesh; Hussein M. Mashaly

doi:10.1109/CCECE.2014.6900926

An intelligent FLC method for tracking the maximum power of photovoltaic systems

Abdullah M. Noman
, Khaled E. Addoweesh
, Hussein M. Mashaly

King Saud University

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

4 Scopus citations

Abstract

Maximum power point trackers are so important in photovoltaic systems since they become an efficient solution to improve the overall system efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The proposed input variables are the change in the voltage and the change in the power of the PV module which the output variable is the reference voltage which is then accumulated every certain time. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.

Original language	English
Title of host publication	Canadian Conference on Electrical and Computer Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479930999
DOIs	https://doi.org/10.1109/CCECE.2014.6900926
State	Published - 17 Sep 2014
Externally published	Yes
Event	2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada Duration: 4 May 2014 → 7 May 2014

Publication series

Name	Canadian Conference on Electrical and Computer Engineering
ISSN (Print)	0840-7789

Conference

Conference	2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
Country/Territory	Canada
City	Toronto
Period	4/05/14 → 7/05/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/CCECE.2014.6900926

Cite this

Noman, A. M., Addoweesh, K. E., & Mashaly, H. M. (2014). An intelligent FLC method for tracking the maximum power of photovoltaic systems. In Canadian Conference on Electrical and Computer Engineering Article 6900926 (Canadian Conference on Electrical and Computer Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE.2014.6900926

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title = "An intelligent FLC method for tracking the maximum power of photovoltaic systems",

abstract = "Maximum power point trackers are so important in photovoltaic systems since they become an efficient solution to improve the overall system efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The proposed input variables are the change in the voltage and the change in the power of the PV module which the output variable is the reference voltage which is then accumulated every certain time. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.",

author = "Noman, \{Abdullah M.\} and Addoweesh, \{Khaled E.\} and Mashaly, \{Hussein M.\}",

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doi = "10.1109/CCECE.2014.6900926",

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Noman, AM, Addoweesh, KE & Mashaly, HM 2014, An intelligent FLC method for tracking the maximum power of photovoltaic systems. in Canadian Conference on Electrical and Computer Engineering., 6900926, Canadian Conference on Electrical and Computer Engineering, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014, Toronto, Canada, 4/05/14. https://doi.org/10.1109/CCECE.2014.6900926

An intelligent FLC method for tracking the maximum power of photovoltaic systems. / Noman, Abdullah M.; Addoweesh, Khaled E.; Mashaly, Hussein M.
Canadian Conference on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., 2014. 6900926 (Canadian Conference on Electrical and Computer Engineering).

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

TY - GEN

T1 - An intelligent FLC method for tracking the maximum power of photovoltaic systems

AU - Noman, Abdullah M.

AU - Addoweesh, Khaled E.

AU - Mashaly, Hussein M.

PY - 2014/9/17

Y1 - 2014/9/17

N2 - Maximum power point trackers are so important in photovoltaic systems since they become an efficient solution to improve the overall system efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The proposed input variables are the change in the voltage and the change in the power of the PV module which the output variable is the reference voltage which is then accumulated every certain time. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.

AB - Maximum power point trackers are so important in photovoltaic systems since they become an efficient solution to improve the overall system efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The proposed input variables are the change in the voltage and the change in the power of the PV module which the output variable is the reference voltage which is then accumulated every certain time. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.

UR - https://www.scopus.com/pages/publications/84908428772

U2 - 10.1109/CCECE.2014.6900926

DO - 10.1109/CCECE.2014.6900926

M3 - Conference contribution

AN - SCOPUS:84908428772

T3 - Canadian Conference on Electrical and Computer Engineering

BT - Canadian Conference on Electrical and Computer Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014

Y2 - 4 May 2014 through 7 May 2014

ER -

An intelligent FLC method for tracking the maximum power of photovoltaic systems

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