Residential grid connected solar inverter using fuzzy logic DC-DC converter

A. Aryal; A. Hellany; J. Rizk; M. Nagrial

doi:10.1109/ICSEEA.2016.7873560

Residential grid connected solar inverter using fuzzy logic DC-DC converter

A. Aryal, A. Hellany, J. Rizk, M. Nagrial

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

3 Citations (Scopus)

Abstract

![CDATA[This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.]]

Original language	English
Title of host publication	Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia
Publisher	LIPI Press
Pages	12-16
Number of pages	5
ISBN (Print)	9781509028993
DOIs	https://doi.org/10.1109/ICSEEA.2016.7873560
Publication status	Published - 2016
Event	International Conference on Sustainable Energy Engineering and Application - Duration: 3 Oct 2016 → …

Conference

Conference	International Conference on Sustainable Energy Engineering and Application
Period	3/10/16 → …

Keywords

fuzzy logic
solar energy

UN SDGs

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

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10.1109/ICSEEA.2016.7873560

Cite this

Aryal, A., Hellany, A., Rizk, J., & Nagrial, M. (2016). Residential grid connected solar inverter using fuzzy logic DC-DC converter. In Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia (pp. 12-16). LIPI Press. https://doi.org/10.1109/ICSEEA.2016.7873560

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title = "Residential grid connected solar inverter using fuzzy logic DC-DC converter",

abstract = "![CDATA[This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.]]",

keywords = "fuzzy logic, solar energy",

author = "A. Aryal and A. Hellany and J. Rizk and M. Nagrial",

year = "2016",

doi = "10.1109/ICSEEA.2016.7873560",

language = "English",

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pages = "12--16",

booktitle = "Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia",

publisher = "LIPI Press",

note = "International Conference on Sustainable Energy Engineering and Application ; Conference date: 03-10-2016",

}

Aryal, A, Hellany, A , Rizk, J & Nagrial, M 2016, Residential grid connected solar inverter using fuzzy logic DC-DC converter. in Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia. LIPI Press, pp. 12-16, International Conference on Sustainable Energy Engineering and Application, 3/10/16. https://doi.org/10.1109/ICSEEA.2016.7873560

Residential grid connected solar inverter using fuzzy logic DC-DC converter. / Aryal, A.; Hellany, A.; Rizk, J. et al.
Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia. LIPI Press, 2016. p. 12-16.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Residential grid connected solar inverter using fuzzy logic DC-DC converter

AU - Aryal, A.

AU - Hellany, A.

AU - Rizk, J.

AU - Nagrial, M.

PY - 2016

Y1 - 2016

N2 - ![CDATA[This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.]]

AB - ![CDATA[This paper presents a residential solar grid connected inverter with analysis of DC-DC converter based on fuzzy logic. The performance of the fuzzy logic algorithm is simulated in Matlab. The fuzzy logic algorithm used in this paper avoids the problem of ongoing tracking oscillations encountered with other types of popular Maximum Power Point Tracking (MPPT) techniques like P&O (Perturb and Observe), Hill-climbing and incremental conductance method. Maximum Power Point Tracking is a method of delivering maximum power from solar panels to the grid by commonly known method as impedance matching. The simulation shows that for arbitrary points of irradiance and temperature the absolute tracking error is less than or equal to 1.4%. The proposed fuzzy logic MPPT only computes duty cycle above 500 W/m2; which is not critical for a solar generation as the proposed algorithm functions well in daylight conditions.]]

KW - fuzzy logic

KW - solar energy

UR - http://hdl.handle.net/1959.7/uws:38226

U2 - 10.1109/ICSEEA.2016.7873560

DO - 10.1109/ICSEEA.2016.7873560

M3 - Conference Paper

SN - 9781509028993

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BT - Sustainable Energy for a Better Life: Proceedings of the 4th International Conference on Sustainable Energy Engineering and Application (ICSEEA 2016), 3-5 October 2016, Jakarta, Indonesia

PB - LIPI Press

T2 - International Conference on Sustainable Energy Engineering and Application

Y2 - 3 October 2016

ER -

Residential grid connected solar inverter using fuzzy logic DC-DC converter

Abstract

Conference

Keywords

UN SDGs

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