Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

Kun Che Ho; Cheng Chung Lin; F. Selin Bagci; Shun Chung Wang; Yi Hua Liu; Yu Shan Cheng

Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

Kun Che Ho, Cheng Chung Lin, F. Selin Bagci, Shun Chung Wang, Yi Hua Liu, Yu Shan Cheng

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

3 引文斯高帕斯（Scopus）

摘要

In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.

原文	英語
主出版物標題	ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9788957083130
出版狀態	已出版 - 05 2019
對外發佈	是
事件	10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, 韓國持續時間: 27 05 2019 → 30 05 2019

出版系列

名字	ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

Conference

Conference	10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
國家/地區	韓國
城市	Busan
期間	27/05/19 → 30/05/19

文獻附註

Publisher Copyright:
© 2019 The Korean Institute of Power Electronics (KIPE).

UN SDG

此研究成果有助於以下永續發展目標

其它文件與鏈接

Link to publication in Scopus

引用此

Ho, K. C., Lin, C. C., Bagci, F. S., Wang, S. C., Liu, Y. H., & Cheng, Y. S. (2019). Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system. 於 ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia 文章 8796901 (ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia). Institute of Electrical and Electronics Engineers Inc..

Ho, Kun Che ; Lin, Cheng Chung ; Bagci, F. Selin 等. / Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system. ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia. Institute of Electrical and Electronics Engineers Inc., 2019. (ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia).

@inproceedings{75b7ee0523ff461e9ad715cdcb56d3f8,

title = "Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system",

abstract = "In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.",

keywords = "Maximum power point tracking, Partially shaded conditions, Photovoltaic generation systems",

author = "Ho, {Kun Che} and Lin, {Cheng Chung} and Bagci, {F. Selin} and Wang, {Shun Chung} and Liu, {Yi Hua} and Cheng, {Yu Shan}",

note = "Publisher Copyright: {\textcopyright} 2019 The Korean Institute of Power Electronics (KIPE).; 10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia ; Conference date: 27-05-2019 Through 30-05-2019",

year = "2019",

month = may,

language = "英语",

series = "ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia",

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

booktitle = "ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia",

address = "美国",

}

Ho, KC, Lin, CC, Bagci, FS, Wang, SC, Liu, YH & Cheng, YS 2019, Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system. 於 ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia., 8796901, ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia, Institute of Electrical and Electronics Engineers Inc., 10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia, Busan, 韓國, 27/05/19.

Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system. / Ho, Kun Che; Lin, Cheng Chung; Bagci, F. Selin 等.
ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia. Institute of Electrical and Electronics Engineers Inc., 2019. 8796901 (ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

AU - Ho, Kun Che

AU - Lin, Cheng Chung

AU - Bagci, F. Selin

AU - Wang, Shun Chung

AU - Liu, Yi Hua

AU - Cheng, Yu Shan

PY - 2019/5

Y1 - 2019/5

N2 - In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.

AB - In this study, three swarm intelligence (SI)-based maximum power point tracking (MPPT) techniques for photovoltaic generation systems (PGSs) operating under partially shaded conditions (PSCs) are investigated. The compared methods include particle swarm optimization (PSO), firefly algorithm (FA) and cuckoo search (CS). Simulated results for 252 different shading patterns will be provided and some conclusion will be made. This study presents reference information for scholars planning to carry out research in this field.

KW - Maximum power point tracking

KW - Partially shaded conditions

KW - Photovoltaic generation systems

UR - http://www.scopus.com/inward/record.url?scp=85071632780&partnerID=8YFLogxK

M3 - 会议稿件

AN - SCOPUS:85071632780

T3 - ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

BT - ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia

Y2 - 27 May 2019 through 30 May 2019

ER -

Ho KC, Lin CC, Bagci FS, Wang SC, Liu YH, Cheng YS. Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system. 於 ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia. Institute of Electrical and Electronics Engineers Inc. 2019. 8796901. (ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia).

Comparison of swarm intelligence based global maximum power point tracking methods for photovoltaic generation system

摘要

出版系列

Conference

文獻附註

UN SDG

其它文件與鏈接

指紋

引用此