Diagnosis of a Power Output Lowering of PV Array with a (-dI/dV)-V Characteristic

Miwa, Masaichi; Yamanaka, S.; Kawamura, Hajime; Ohno, Hideyuki; Kawamura, Hiroaki

doi:10.1109/wcpec.2006.279703

Cited by 26 publications

(11 citation statements)

References 1 publication

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“…Another approach for detecting the presence of partial shading from the I-V curve, is by numerical differentiation of the I-V curve (dI/dV À V) and investigation of any new inflexion points that would indicate the presence of heterogeneous/partial shading (Miwa et al, 2006). This situation usually occurs in PV modules equipped with bypass diodes, where the mismatch caused by shading can lead to activation of the bypass diodes and the generation of new inflexion points on the I-V curve (Silvestre et al, 2009).…”

Section: I-v Curve Inflexion Factor -Iv Fmentioning

confidence: 99%

“…In comparison with yield measurements, I-V curves can provide significantly more information regarding the condition and electrical properties of the PV generator, such as: short-circuit current, open-circuit voltage, fill factor, series and shunt resistance, ideality factor (Meyer and van Dyk, 2004;Sera et al, 2008;Tina et al, 2014), as well as indicate the presence of shading and soiling (Miwa et al, 2006;Sera et al, 2011), or other conditions. In the past, field measurement of the I-V curve of PV modules, strings, and arrays, required dedicated hardware, such as I-V tracers.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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Section: I-v Curve Inflexion Factor -Iv Fmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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“…Moreover, it became clear that a position of a peak observed with the (-dI/dV) characteristic moved in the low voltage side with increase of the number of sheets of a PV module covered in a shadow [12]. But identifying this point with deviation is not easy and robust.…”

Section: A With Interpreting (-Di/dv) Characteristicmentioning

confidence: 99%

Partial shading fault diagnosis in PV system with discrete wavelet transform (DWT)

Davarifar

Rabhi

Kamal

et al. 2014

2014 International Conference on Renewable Energy Research and Application (ICRERA)

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The homeowners PV system want to maximize the total energy harvesting from their installed resident PV system (RPS), especially if there is a feed-in tariff (FIT) in play. In this regard, fault detection in solar photovoltaic (PV) arrays allows to expedite PV system recovery time. On the other hand, one of the most common fault in RPS is partial shading and fault diagnosis effort and interpreting this type of fault is motivated us to propose this paper. I-V curve of shaded string included notched and steeped points which are related to signature of shaded cells. In fact, the value of the vertical height in I-V curve represented of percentage of shading. Likewise, the horizontal or voltage distance from Voc of the notched point is related to the number of cells strings within modules those have been bypassed by diodes (Number of bypassed modules). In this work, for first time discrete wavelet transform (dwt) is used to interpret traced I-V curve of PV system and defining these coordinated points in related diagnosis effort.

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“…Instead of beginning in short circuit, we could start with S3 closed, so the capacitor initially would be charged to negative voltage, and the I-V curve crosses the axis of current, in order to get the current of short-circuit ( SC ). To obtain a reliable I-V curve with the capacitor method, the three switches (S1, S2 and S3) must be activated with the appropriate sequence, and the capacitor's prior discharge is needed to start a new measurement [8]. Figures 3 and 4 the schematic of the real power circuit that we have developed is shown.…”

Section: Obtaining the I-v Characteristic By The Use Of A Capacitor Loadmentioning

confidence: 99%

Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board

Khenfer

Mostefai

Benahdouga

et al. 2014

International Journal of Photoenergy

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This paper presents a laboratory with equipment and an algorithm for teaching graduate students the monitoring and the diagnosis of PV arrays. The contribution is the presentation of an algorithm to detect and localize the fault, in photovoltaic generator when a limited number of voltage sensors are used. AnI-Vcurve tracer using a capacitive load is exploited to measure theI-Vcharacteristics of PV arrays. Such measurement allows characterization of PV arrays on-site, under real operating conditions, and provides also information for the detection of potential array anomalies. ThisI-Vcurve tracer is based on a microcontroller board family called chipKIT Max32 which is a popular platform for physical computing. A user program can be developed visually on a PC side via the graphical user interface (GUI) in Matlab Simulink, where the chipKIT Max32 of Digilent which is a low-cost board is designed for use with the Arduinompid software. The obtained results from the partial shade default showed the effectiveness of the proposed diagnosis method and the good functioning of this board with the Matlab/Simulink environment.

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Diagnosis of a Power Output Lowering of PV Array with a (-dI/dV)-V Characteristic

Cited by 26 publications

References 1 publication

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

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

Partial shading fault diagnosis in PV system with discrete wavelet transform (DWT)

Faults Detection in a Photovoltaic Generator by Using Matlab Simulink and the chipKIT Max32 Board

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