Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition

Quota Alief Sias; Imam Robandi

doi:10.1109/ISITIA.2016.7828716

Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition

Quota Alief Sias
, Imam Robandi

Department of Electrical Engineering
Institut Teknologi Sepuluh Nopember

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

6 Citations (Scopus)

Abstract

Photovoltaic (PV) systems commonly require power conditioner equipment. These consist of converters that have a lot of control methods for tuning the duty cycle. The proper duty cycle value ensure PV panel to produces a maximum power. Perturb and Observe (P&O) is one of the Maximum Power Point Tracking (MPPT) techniques. It is widely used in researches and industries because of the simplicity for finding the Maximum Power Point (MPP). PV system have several MPP under Partial Shading Conditions (PSC) and the highest one is the true MPP. It is called global solution and the others are called local solution. To deal with shaded conditions, P&O need some improvements. This paper will proposed the simple Recurrence P&O (RP&O) algorithm to deal under PSC. It will be simulated under normal and shaded conditions and will be compared to the original P&O. The result indicates the proposed algorithm having a better performance than the original one.

Original language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	533-538
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828716
Publication status	Published - 20 Jan 2017
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

MPP
MPPT
P&O
PSC
RP&O

Access to Document

10.1109/ISITIA.2016.7828716

Cite this

Sias, Q. A., & Robandi, I. (2017). Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 533-538). Article 7828716 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828716

Sias, Quota Alief ; Robandi, Imam. / Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 533-538 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

@inproceedings{f65f9d5a8c6e4befba072d565a2aa0e9,

title = "Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition",

abstract = "Photovoltaic (PV) systems commonly require power conditioner equipment. These consist of converters that have a lot of control methods for tuning the duty cycle. The proper duty cycle value ensure PV panel to produces a maximum power. Perturb and Observe (P\&O) is one of the Maximum Power Point Tracking (MPPT) techniques. It is widely used in researches and industries because of the simplicity for finding the Maximum Power Point (MPP). PV system have several MPP under Partial Shading Conditions (PSC) and the highest one is the true MPP. It is called global solution and the others are called local solution. To deal with shaded conditions, P\&O need some improvements. This paper will proposed the simple Recurrence P\&O (RP\&O) algorithm to deal under PSC. It will be simulated under normal and shaded conditions and will be compared to the original P\&O. The result indicates the proposed algorithm having a better performance than the original one.",

keywords = "MPP, MPPT, P\&O, PSC, RP\&O",

author = "Sias, \{Quota Alief\} and Imam Robandi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 ; Conference date: 28-07-2016 Through 30-07-2016",

year = "2017",

month = jan,

day = "20",

doi = "10.1109/ISITIA.2016.7828716",

language = "English",

series = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "533--538",

booktitle = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016",

address = "United States",

}

Sias, QA & Robandi, I 2017, Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828716, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 533-538, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828716

Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. / Sias, Quota Alief; Robandi, Imam.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 533-538 7828716 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

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

TY - GEN

T1 - Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition

AU - Sias, Quota Alief

AU - Robandi, Imam

PY - 2017/1/20

Y1 - 2017/1/20

N2 - Photovoltaic (PV) systems commonly require power conditioner equipment. These consist of converters that have a lot of control methods for tuning the duty cycle. The proper duty cycle value ensure PV panel to produces a maximum power. Perturb and Observe (P&O) is one of the Maximum Power Point Tracking (MPPT) techniques. It is widely used in researches and industries because of the simplicity for finding the Maximum Power Point (MPP). PV system have several MPP under Partial Shading Conditions (PSC) and the highest one is the true MPP. It is called global solution and the others are called local solution. To deal with shaded conditions, P&O need some improvements. This paper will proposed the simple Recurrence P&O (RP&O) algorithm to deal under PSC. It will be simulated under normal and shaded conditions and will be compared to the original P&O. The result indicates the proposed algorithm having a better performance than the original one.

AB - Photovoltaic (PV) systems commonly require power conditioner equipment. These consist of converters that have a lot of control methods for tuning the duty cycle. The proper duty cycle value ensure PV panel to produces a maximum power. Perturb and Observe (P&O) is one of the Maximum Power Point Tracking (MPPT) techniques. It is widely used in researches and industries because of the simplicity for finding the Maximum Power Point (MPP). PV system have several MPP under Partial Shading Conditions (PSC) and the highest one is the true MPP. It is called global solution and the others are called local solution. To deal with shaded conditions, P&O need some improvements. This paper will proposed the simple Recurrence P&O (RP&O) algorithm to deal under PSC. It will be simulated under normal and shaded conditions and will be compared to the original P&O. The result indicates the proposed algorithm having a better performance than the original one.

KW - MPP

KW - MPPT

KW - P&O

KW - PSC

KW - RP&O

UR - https://www.scopus.com/pages/publications/85016814706

U2 - 10.1109/ISITIA.2016.7828716

DO - 10.1109/ISITIA.2016.7828716

M3 - Conference contribution

AN - SCOPUS:85016814706

T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

SP - 533

EP - 538

BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

Y2 - 28 July 2016 through 30 July 2016

ER -

Sias QA, Robandi I. Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 533-538. 7828716. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828716

Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this