Comparative Review of High Resolution Monitoring Versus Standard Inverter Data Acquisition for a Single Photovoltaic Power Plant

Jones, C. Birk; Ellis, Benjamin H.; Stein, Joshua S.; Walters, Joseph

doi:10.1109/pvsc.2018.8547740

Cited by 9 publications

(1 citation statement)

References 5 publications

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“…The in-situ measurement techniques are typically performed on a smaller statistical sample of the PV plant, due to the cost of needing permanent hardware. There are opportunities for integrating the data acquisition hardware into system components such as DC optimizers and inverters [124]. Also, in-situ I-V scans have little to no impact on power production, as scans are typically completed in less than two seconds.…”

Section: Outdoor Characterization Applicationsmentioning

confidence: 99%

Measuring outdoor I–V characteristics of PV modules and systems

et al. 2022

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The cumulative installed capacity of photovoltaics has passed 1 TW, of which about two-thirds were only installed in the past five years. Many of these new installations incorporate novel module and cell designs that have not yet been subjected to long-term in-field characterization. Indoor accelerated stress testing has historically been a valuable methodology to identify fault mechanisms, estimate degradation rates, and to ensure the safety and normal operation of modules in the field. Still, these methodologies deliver an incomplete image of the exact stress mechanisms that photovoltaic systems are subject to outdoors, which vary with location, time of day, and time of year. In this work we review different outdoor methods to measure current-voltage characteristics of photovoltaic systems, discuss how the environmental conditions impact those characteristics, and examine alternative methodologies for acquiring light and pseudo current-voltage characteristics more applicable to larger scale installations. This review also provides an insight into methods useful for real-time monitoring and degradation analysis at the module and string level.

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Section: Outdoor Characterization Applicationsmentioning

confidence: 99%