Diagnostic method for photovoltaic systems based on light I-V measurements

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

28 Citationer (Scopus)

Resumé

Improving PV system reliability and reducing maintenance and operating costs have become important factors in increasing the competitiveness of PV. Addressing these issues requires diagnostic methods that can detect and identify the occurrence and cause of power loss in the PV system, be it external, such as shading or soiling, or degradation or failure of the PV modules and balance-of-system components. This allows for performing preventive and/or reparative maintenance, thus minimizing further losses and costs.
This article proposes a complete diagnostic method for detecting shading, increased series-resistance losses, and potential-induced degradation of the PV generator by analysing changes its current-voltage characteristic curve. The diagnostic method is based on parameters that can be easily calculated from the shape of the current-voltage curve, making it machine-analysis friendly and suitable for implementation in the power electronic converter. Moreover, the dimensionless formulation of the diagnostic parameters and the application of fuzzy logic in evaluating the diagnostic rules, make this method applicable to a wide range of standard crystalline silicon based PV systems.
The design and analysis of the diagnostic parameters and logic was performed based on module level tests on standard crystalline silicon PV modules, and were optimized to detect even small partial shading and increase series-resistance losses. To demonstrate the practical application and operation of this method, the diagnostic parameters and rules were applied “as is” to a field test setup consisting of a crystalline silicon based PV string and a commercial string inverter capable of measuring the I-V curve of the PV string, yielding a similar high-detection rate.
OriginalsprogEngelsk
TidsskriftSolar Energy
Vol/bind119
Sider (fra-til)29-44
ISSN0038-092X
DOI
StatusUdgivet - sep. 2015

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Silicon
Crystalline materials
Degradation
Current voltage characteristics
Power electronics
Operating costs
Fuzzy logic
Electric potential
Costs

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    title = "Diagnostic method for photovoltaic systems based on light I-V measurements",
    abstract = "Improving PV system reliability and reducing maintenance and operating costs have become important factors in increasing the competitiveness of PV. Addressing these issues requires diagnostic methods that can detect and identify the occurrence and cause of power loss in the PV system, be it external, such as shading or soiling, or degradation or failure of the PV modules and balance-of-system components. This allows for performing preventive and/or reparative maintenance, thus minimizing further losses and costs. This article proposes a complete diagnostic method for detecting shading, increased series-resistance losses, and potential-induced degradation of the PV generator by analysing changes its current-voltage characteristic curve. The diagnostic method is based on parameters that can be easily calculated from the shape of the current-voltage curve, making it machine-analysis friendly and suitable for implementation in the power electronic converter. Moreover, the dimensionless formulation of the diagnostic parameters and the application of fuzzy logic in evaluating the diagnostic rules, make this method applicable to a wide range of standard crystalline silicon based PV systems. The design and analysis of the diagnostic parameters and logic was performed based on module level tests on standard crystalline silicon PV modules, and were optimized to detect even small partial shading and increase series-resistance losses. To demonstrate the practical application and operation of this method, the diagnostic parameters and rules were applied “as is” to a field test setup consisting of a crystalline silicon based PV string and a commercial string inverter capable of measuring the I-V curve of the PV string, yielding a similar high-detection rate.",
    keywords = "Diagnostic method, Current-voltage characteristic, Fault detection, Increased series resistance,, Partial shading, Photovoltaic systems, Potential-induced degradation, Crystalline silicon",
    author = "Sergiu Spataru and Dezso Sera and Tamas Kerekes and Remus Teodorescu",
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    Diagnostic method for photovoltaic systems based on light I-V measurements. / Spataru, Sergiu; Sera, Dezso; Kerekes, Tamas; Teodorescu, Remus.

    I: Solar Energy, Bind 119, 09.2015, s. 29-44.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    TY - JOUR

    T1 - Diagnostic method for photovoltaic systems based on light I-V measurements

    AU - Spataru, Sergiu

    AU - Sera, Dezso

    AU - Kerekes, Tamas

    AU - Teodorescu, Remus

    PY - 2015/9

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    N2 - Improving PV system reliability and reducing maintenance and operating costs have become important factors in increasing the competitiveness of PV. Addressing these issues requires diagnostic methods that can detect and identify the occurrence and cause of power loss in the PV system, be it external, such as shading or soiling, or degradation or failure of the PV modules and balance-of-system components. This allows for performing preventive and/or reparative maintenance, thus minimizing further losses and costs. This article proposes a complete diagnostic method for detecting shading, increased series-resistance losses, and potential-induced degradation of the PV generator by analysing changes its current-voltage characteristic curve. The diagnostic method is based on parameters that can be easily calculated from the shape of the current-voltage curve, making it machine-analysis friendly and suitable for implementation in the power electronic converter. Moreover, the dimensionless formulation of the diagnostic parameters and the application of fuzzy logic in evaluating the diagnostic rules, make this method applicable to a wide range of standard crystalline silicon based PV systems. The design and analysis of the diagnostic parameters and logic was performed based on module level tests on standard crystalline silicon PV modules, and were optimized to detect even small partial shading and increase series-resistance losses. To demonstrate the practical application and operation of this method, the diagnostic parameters and rules were applied “as is” to a field test setup consisting of a crystalline silicon based PV string and a commercial string inverter capable of measuring the I-V curve of the PV string, yielding a similar high-detection rate.

    AB - Improving PV system reliability and reducing maintenance and operating costs have become important factors in increasing the competitiveness of PV. Addressing these issues requires diagnostic methods that can detect and identify the occurrence and cause of power loss in the PV system, be it external, such as shading or soiling, or degradation or failure of the PV modules and balance-of-system components. This allows for performing preventive and/or reparative maintenance, thus minimizing further losses and costs. This article proposes a complete diagnostic method for detecting shading, increased series-resistance losses, and potential-induced degradation of the PV generator by analysing changes its current-voltage characteristic curve. The diagnostic method is based on parameters that can be easily calculated from the shape of the current-voltage curve, making it machine-analysis friendly and suitable for implementation in the power electronic converter. Moreover, the dimensionless formulation of the diagnostic parameters and the application of fuzzy logic in evaluating the diagnostic rules, make this method applicable to a wide range of standard crystalline silicon based PV systems. The design and analysis of the diagnostic parameters and logic was performed based on module level tests on standard crystalline silicon PV modules, and were optimized to detect even small partial shading and increase series-resistance losses. To demonstrate the practical application and operation of this method, the diagnostic parameters and rules were applied “as is” to a field test setup consisting of a crystalline silicon based PV string and a commercial string inverter capable of measuring the I-V curve of the PV string, yielding a similar high-detection rate.

    KW - Diagnostic method

    KW - Current-voltage characteristic

    KW - Fault detection

    KW - Increased series resistance,

    KW - Partial shading

    KW - Photovoltaic systems

    KW - Potential-induced degradation

    KW - Crystalline silicon

    U2 - 10.1016/j.solener.2015.06.020

    DO - 10.1016/j.solener.2015.06.020

    M3 - Journal article

    VL - 119

    SP - 29

    EP - 44

    JO - Solar Energy

    JF - Solar Energy

    SN - 0038-092X

    ER -