Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions

Kangshi Wang; Jieming Ma; Ka Lok Man; Dou Hong; Kaizhu Huang; Xiaowei Huang

doi:10.1109/DDCLS52934.2021.9455638

Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions

Kangshi Wang, Jieming Ma, Ka Lok Man, Dou Hong, Kaizhu Huang, Xiaowei Huang

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

3 Citations (Scopus)

Abstract

Partial shading is unavoidable in photovoltaic (PV) systems. However, there still lacks an abstract modeling and simulation for PV strings under partial shading conditions. This paper proposes a modified Tubo search algorithm to find the locations of turning points in current-voltage (I-V) curve. PV model parameters are then identified by a particle swarm optimization algorithm with the location and search history of turning points. The proposed model can effectively approximate the actual PV string. The feasibility and accuracy of the proposed method are verified through simulation and experimental results.

Original language	English
Title of host publication	Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021
Editors	Mingxuan Sun, Huaguang Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1345-1349
Number of pages	5
ISBN (Electronic)	9781665424233
DOIs	https://doi.org/10.1109/DDCLS52934.2021.9455638
Publication status	Published - 14 May 2021
Event	10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021 - Suzhou, China Duration: 14 May 2021 → 16 May 2021

Publication series

Name	Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021

Conference

Conference	10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021
Country/Territory	China
City	Suzhou
Period	14/05/21 → 16/05/21

Keywords

current-voltage characteristics
parameter identification
partial shading conditions
photovoltaic systems

Access to Document

10.1109/DDCLS52934.2021.9455638

Cite this

Wang, K., Ma, J., Man, K. L., Hong, D., Huang, K., & Huang, X. (2021). Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions. In M. Sun, & H. Zhang (Eds.), Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021 (pp. 1345-1349). Article 9455638 (Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS52934.2021.9455638

Wang, Kangshi ; Ma, Jieming ; Man, Ka Lok et al. / Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions. Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021. editor / Mingxuan Sun ; Huaguang Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1345-1349 (Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021).

@inproceedings{d52a6522f984447b8efee13aab7a011f,

title = "Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions",

abstract = "Partial shading is unavoidable in photovoltaic (PV) systems. However, there still lacks an abstract modeling and simulation for PV strings under partial shading conditions. This paper proposes a modified Tubo search algorithm to find the locations of turning points in current-voltage (I-V) curve. PV model parameters are then identified by a particle swarm optimization algorithm with the location and search history of turning points. The proposed model can effectively approximate the actual PV string. The feasibility and accuracy of the proposed method are verified through simulation and experimental results.",

keywords = "current-voltage characteristics, parameter identification, partial shading conditions, photovoltaic systems",

author = "Kangshi Wang and Jieming Ma and Man, {Ka Lok} and Dou Hong and Kaizhu Huang and Xiaowei Huang",

note = "Funding Information: This research is supported by the Suzhou Science and Technology Project-Key Industrial Technology Innovation (Grant No. SYG202006), Qing Lan Project of Jiangsu Province, the Key Program Special Fund of Xi{\textquoteright}an Jiaotong Liverpool University (XJTLU), Suzhou, China (Grant No. KSF-E-65, KSF-P-02), the XJTLU Research Development Fund (Grant No. RDF-17-02-04), and the XJTLU Postgraduate Research Scholarship (Grand No. PGRS1906004). Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021 ; Conference date: 14-05-2021 Through 16-05-2021",

year = "2021",

month = may,

day = "14",

doi = "10.1109/DDCLS52934.2021.9455638",

language = "English",

series = "Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021",

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

pages = "1345--1349",

editor = "Mingxuan Sun and Huaguang Zhang",

booktitle = "Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021",

}

Wang, K, Ma, J , Man, KL, Hong, D, Huang, K & Huang, X 2021, Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions. in M Sun & H Zhang (eds), Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021., 9455638, Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1345-1349, 10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021, Suzhou, China, 14/05/21. https://doi.org/10.1109/DDCLS52934.2021.9455638

Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions. / Wang, Kangshi; Ma, Jieming ; Man, Ka Lok et al.
Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021. ed. / Mingxuan Sun; Huaguang Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1345-1349 9455638 (Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021).

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

TY - GEN

T1 - Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions

AU - Wang, Kangshi

AU - Ma, Jieming

AU - Man, Ka Lok

AU - Hong, Dou

AU - Huang, Kaizhu

AU - Huang, Xiaowei

N1 - Funding Information: This research is supported by the Suzhou Science and Technology Project-Key Industrial Technology Innovation (Grant No. SYG202006), Qing Lan Project of Jiangsu Province, the Key Program Special Fund of Xi’an Jiaotong Liverpool University (XJTLU), Suzhou, China (Grant No. KSF-E-65, KSF-P-02), the XJTLU Research Development Fund (Grant No. RDF-17-02-04), and the XJTLU Postgraduate Research Scholarship (Grand No. PGRS1906004). Publisher Copyright: © 2021 IEEE.

PY - 2021/5/14

Y1 - 2021/5/14

N2 - Partial shading is unavoidable in photovoltaic (PV) systems. However, there still lacks an abstract modeling and simulation for PV strings under partial shading conditions. This paper proposes a modified Tubo search algorithm to find the locations of turning points in current-voltage (I-V) curve. PV model parameters are then identified by a particle swarm optimization algorithm with the location and search history of turning points. The proposed model can effectively approximate the actual PV string. The feasibility and accuracy of the proposed method are verified through simulation and experimental results.

AB - Partial shading is unavoidable in photovoltaic (PV) systems. However, there still lacks an abstract modeling and simulation for PV strings under partial shading conditions. This paper proposes a modified Tubo search algorithm to find the locations of turning points in current-voltage (I-V) curve. PV model parameters are then identified by a particle swarm optimization algorithm with the location and search history of turning points. The proposed model can effectively approximate the actual PV string. The feasibility and accuracy of the proposed method are verified through simulation and experimental results.

KW - current-voltage characteristics

KW - parameter identification

KW - partial shading conditions

KW - photovoltaic systems

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U2 - 10.1109/DDCLS52934.2021.9455638

DO - 10.1109/DDCLS52934.2021.9455638

M3 - Conference Proceeding

AN - SCOPUS:85114214145

T3 - Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021

SP - 1345

EP - 1349

BT - Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021

A2 - Sun, Mingxuan

A2 - Zhang, Huaguang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021

Y2 - 14 May 2021 through 16 May 2021

ER -

Wang K, Ma J , Man KL, Hong D, Huang K, Huang X. Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions. In Sun M, Zhang H, editors, Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1345-1349. 9455638. (Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021). doi: 10.1109/DDCLS52934.2021.9455638

Real-time Modeling of Photovoltaic Strings under Partial Shading Conditions

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