A New Generation of PV Monitoring System with High-Grade Remote Diagnostics Based on Module Level Monitoring and Integrated Yield Simulation
| Autor: | Kilper, T., Kruse, I., Feser, C., Kirstein, U., Peters, D., Tapia, M., Von Maydell, K., Yilmaz, S., Behrens, G. |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| DOI: | 10.4229/eupvsec20152015-5bo.12.4 |
| Popis: | 31st European Photovoltaic Solar Energy Conference and Exhibition; 1679-1682 The significant enlargement of the functionalities of the SunSniffer PV monitoring system is the objective of a German joint research project. The SunSniffer technology has already realized the approach of a module based PV monitoring. Essential project targets are the integration of a PV yield simulation engine, the significant enhancement of the error detection sensitivity via continuous nominal-actural value comparisons, an automated fault analysis, automated recommendations for action (swapping of modules, module cleaning etc.) based on ROI considerations, and the automated prediction of an imminent PV plant performance deterioration. The previous project work was focused on the integration of the simulation engine, the development of the automated error detection, and the development of the automated fault analysis. First the accuracy of the selected PV yield simulation engine was investigated. It was demonstrated that the simulation accuracy can attain values down to 0.4 %. Concerning the automated fault analysis the approach was to develop an algorithm that continuously analyzes the measured module voltage und string current data by means of pattern matching. As example a feasible approach to distinguish between PID and partial shadowing was shown. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|