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Accueil du site → Master → Etats Unis → 2020 → Degradation & Partial Shading Study of Photovoltaic Modules in the Field : Enabled by Time-series Current-Voltage & Power Analysis

Case Western Reserve University (2020)

Degradation & Partial Shading Study of Photovoltaic Modules in the Field : Enabled by Time-series Current-Voltage & Power Analysis

Liu, Jiqi

Titre : Degradation & Partial Shading Study of Photovoltaic Modules in the Field : Enabled by Time-series Current-Voltage & Power Analysis

Auteur : Liu, Jiqi

Université de soutenance : Case Western Reserve University

Grade : Master of Science (MS) 2020

Résumé
The time-series power (P) and current-voltage (I-V) curve datastreams of photovoltaic modules exposed in the field for long times are very useful for studying degradation behavior and fault detection of photovoltaic modules. In this study, over two million I-V curves were processed using the data-driven I-V feature extraction algorithm. A statistical analysis method was developed and applied to detect partial shading by returning shading profiles, the relative orientation of the shading object, detailed information on shading scenarios, and the duration of partial shading based on multistep I-V curves. Three out of eight PV modules studied exhibit partial shading which is consistent across a number of years in the shading profile. The extracted I-V features are processed by the outdoor Isc-Voc and power loss calculation method to obtain the power losses due to four degradation modes including uniform current loss, recombination loss, series resistance loss and current mismatch loss. Then the month-by-month regression method is applied to the four types of time-series power loss to obtain the rate of change of each degradation mode of each module. The degradation results from both I-V and Pmp analysis are compared across module brands, architectures and their climate zone locations. In addition, the performance loss rates (PLR) was determined from the power time-series and show that the BWh and BSh Koppen-Geiger climate zones cause similar performance loss rates, which are larger than those in the ET climate for brand F (glass-backsheet architecture) modules. For Brand G (double glass architecture) modules, BSh causes more aggressive degradation than BWh and both are more aggressive than ET. Brand G (double glass) has significantly better performance than brand F (glass-backsheet) ones especially in BWh. From the outdoor Isc-Voc analysis, the dominant degradation mode is obtained for each brand (architecture) PV modules under exposure in each climate zone. These I-V, Pmp time-series datastream analyses represent a new approach to remotely identify degradation rates and mechanisms, and partial shading problems of real-world PV power plants.

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