Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach

Chen Chi Chu; Chieh Li Chen

doi:10.1016/j.solener.2009.03.005

Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach

Chen Chi Chu, Chieh Li Chen

Research output: Contribution to journal › Article › peer-review

216 Citations (Scopus)

Abstract

Due to nonlinear I-V characteristics of photovoltaic cells, an maximum power point tracking algorithm is adopted to maximize the output power. In this paper, an approach for peak power tracking using the sliding mode control is proposed. The proposed controller is robust to environment changes and load variations. The stability and robustness of the controller are addressed. The performance of the controller is verified through simulations and experiments. It demonstrated that the proposed approach can be implemented effectively and economically.

Original language	English
Pages (from-to)	1370-1378
Number of pages	9
Journal	Solar Energy
Volume	83
Issue number	8
DOIs	https://doi.org/10.1016/j.solener.2009.03.005
Publication status	Published - 2009 Aug

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
General Materials Science

UN SDGs

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

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10.1016/j.solener.2009.03.005

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title = "Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach",

abstract = "Due to nonlinear I-V characteristics of photovoltaic cells, an maximum power point tracking algorithm is adopted to maximize the output power. In this paper, an approach for peak power tracking using the sliding mode control is proposed. The proposed controller is robust to environment changes and load variations. The stability and robustness of the controller are addressed. The performance of the controller is verified through simulations and experiments. It demonstrated that the proposed approach can be implemented effectively and economically.",

author = "Chu, {Chen Chi} and Chen, {Chieh Li}",

note = "Funding Information: The work was supported by the the Ministry of Economic Affairs (95-EC-17-A- 05-S1-0014) and National Science Council, (NSC94-2221-E006-276), Taiwan. ",

year = "2009",

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T1 - Robust maximum power point tracking method for photovoltaic cells

T2 - A sliding mode control approach

AU - Chu, Chen Chi

AU - Chen, Chieh Li

N1 - Funding Information: The work was supported by the the Ministry of Economic Affairs (95-EC-17-A- 05-S1-0014) and National Science Council, (NSC94-2221-E006-276), Taiwan.

PY - 2009/8

Y1 - 2009/8

N2 - Due to nonlinear I-V characteristics of photovoltaic cells, an maximum power point tracking algorithm is adopted to maximize the output power. In this paper, an approach for peak power tracking using the sliding mode control is proposed. The proposed controller is robust to environment changes and load variations. The stability and robustness of the controller are addressed. The performance of the controller is verified through simulations and experiments. It demonstrated that the proposed approach can be implemented effectively and economically.

AB - Due to nonlinear I-V characteristics of photovoltaic cells, an maximum power point tracking algorithm is adopted to maximize the output power. In this paper, an approach for peak power tracking using the sliding mode control is proposed. The proposed controller is robust to environment changes and load variations. The stability and robustness of the controller are addressed. The performance of the controller is verified through simulations and experiments. It demonstrated that the proposed approach can be implemented effectively and economically.

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M3 - Article

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SN - 0038-092X

VL - 83

SP - 1370

EP - 1378

JO - Solar Energy

JF - Solar Energy

IS - 8

ER -

Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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