A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation

Chun Liang Liu; Yi Feng Luo; Jia Wei Huang; Yi Hua Liu

doi:10.1109/SCIS-ISIS.2012.6505229

A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation

Chun Liang Liu
, Yi Feng Luo
, Jia Wei Huang
, Yi Hua Liu

National Taiwan University of Science and Technology
Division for Biomedical and Industrial

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

28 Scopus citations

Abstract

Photovoltaic generation system (PGS) has become an attractive option among renewable energy sources because it is clean, maintenance-free and environmental friendly. For large PGS, the probability for partially shaded condition (PSC) to occur is high. Under PSC, when the entire array does not receive uniform insolation, the P-V curves of PGS get more complex, exhibiting multiple peaks. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The problem formulation and design procedure are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent and high tracking efficiency. To validate the correctness of the proposed method, simulation and experimental results of a 2 kW PGS will also be provided to demonstrate the effectiveness of the proposed technique.

Original language	English
Title of host publication	6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages	721-726
Number of pages	6
DOIs	https://doi.org/10.1109/SCIS-ISIS.2012.6505229
State	Published - 2012
Externally published	Yes
Event	2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan Duration: 20 11 2012 → 24 11 2012

Publication series

Name	6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Conference

Conference	2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Country/Territory	Japan
City	Kobe
Period	20/11/12 → 24/11/12

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Maximum Power Point Tracking
Partially Shaded Condition
Particle Swarm Optimization
Photovoltaic Generation System

Access to Document

10.1109/SCIS-ISIS.2012.6505229

Cite this

Liu, C. L., Luo, Y. F., Huang, J. W., & Liu, Y. H. (2012). A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 721-726). Article 6505229 (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012). https://doi.org/10.1109/SCIS-ISIS.2012.6505229

Liu, Chun Liang ; Luo, Yi Feng ; Huang, Jia Wei et al. / A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. pp. 721-726 (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012).

@inproceedings{eb9ad4e1ea94424f9758c47d794d162e,

title = "A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation",

abstract = "Photovoltaic generation system (PGS) has become an attractive option among renewable energy sources because it is clean, maintenance-free and environmental friendly. For large PGS, the probability for partially shaded condition (PSC) to occur is high. Under PSC, when the entire array does not receive uniform insolation, the P-V curves of PGS get more complex, exhibiting multiple peaks. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The problem formulation and design procedure are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent and high tracking efficiency. To validate the correctness of the proposed method, simulation and experimental results of a 2 kW PGS will also be provided to demonstrate the effectiveness of the proposed technique.",

keywords = "Maximum Power Point Tracking, Partially Shaded Condition, Particle Swarm Optimization, Photovoltaic Generation System",

author = "Liu, \{Chun Liang\} and Luo, \{Yi Feng\} and Huang, \{Jia Wei\} and Liu, \{Yi Hua\}",

year = "2012",

doi = "10.1109/SCIS-ISIS.2012.6505229",

language = "英语",

isbn = "9781467327428",

series = "6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012",

pages = "721--726",

booktitle = "6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012",

note = "2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 ; Conference date: 20-11-2012 Through 24-11-2012",

}

Liu, CL, Luo, YF, Huang, JW & Liu, YH 2012, A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation. in 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012., 6505229, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012, pp. 721-726, 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012, Kobe, Japan, 20/11/12. https://doi.org/10.1109/SCIS-ISIS.2012.6505229

A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation. / Liu, Chun Liang; Luo, Yi Feng; Huang, Jia Wei et al.
6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 721-726 6505229 (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012).

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

TY - GEN

T1 - A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation

AU - Liu, Chun Liang

AU - Luo, Yi Feng

AU - Huang, Jia Wei

AU - Liu, Yi Hua

PY - 2012

Y1 - 2012

N2 - Photovoltaic generation system (PGS) has become an attractive option among renewable energy sources because it is clean, maintenance-free and environmental friendly. For large PGS, the probability for partially shaded condition (PSC) to occur is high. Under PSC, when the entire array does not receive uniform insolation, the P-V curves of PGS get more complex, exhibiting multiple peaks. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The problem formulation and design procedure are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent and high tracking efficiency. To validate the correctness of the proposed method, simulation and experimental results of a 2 kW PGS will also be provided to demonstrate the effectiveness of the proposed technique.

AB - Photovoltaic generation system (PGS) has become an attractive option among renewable energy sources because it is clean, maintenance-free and environmental friendly. For large PGS, the probability for partially shaded condition (PSC) to occur is high. Under PSC, when the entire array does not receive uniform insolation, the P-V curves of PGS get more complex, exhibiting multiple peaks. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The problem formulation and design procedure are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent and high tracking efficiency. To validate the correctness of the proposed method, simulation and experimental results of a 2 kW PGS will also be provided to demonstrate the effectiveness of the proposed technique.

KW - Maximum Power Point Tracking

KW - Partially Shaded Condition

KW - Particle Swarm Optimization

KW - Photovoltaic Generation System

UR - https://www.scopus.com/pages/publications/84877796333

U2 - 10.1109/SCIS-ISIS.2012.6505229

DO - 10.1109/SCIS-ISIS.2012.6505229

M3 - 会议稿件

AN - SCOPUS:84877796333

SN - 9781467327428

T3 - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

SP - 721

EP - 726

BT - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

T2 - 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012

Y2 - 20 November 2012 through 24 November 2012

ER -

Liu CL, Luo YF, Huang JW, Liu YH. A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 721-726. 6505229. (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012). doi: 10.1109/SCIS-ISIS.2012.6505229

A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation

Abstract

Publication series

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UN SDGs

Keywords

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