Cross-characterization of PV and sunshine profiles based on hierarchical classification


Zhang, Z., Li, R., Zhao, C. and Li, F., 2016. Cross-characterization of PV and sunshine profiles based on hierarchical classification. Energy Procedia, 103, pp. 15-21.

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This paper investigates the link between PV generation and the climatological indicator of sunshine duration. For the first time, an understanding of to what degree the daily sunshine duration determines the generation output profile is established, and insights into the extent of such impact at differing months of a year are provided. The new finding essentially provides a fresh new perspective on characterizing the uncertainty and variability in PV output. Based on this correlation identified, a novel two-step hierarchical classification method is also proposed in this work to facilitate PV profiling. A case study on a practical PV plant in Great Britain is presented to demonstrate the application of this method. For each derived group, the degree of variation in PV output at different times and the confident levels of each quantity are assessed. More importantly, based on the classification results, a weather-based PV profiling guideline is created. This will facilitate PV output forecasting on a granular level, thus providing a powerful tool for the ever increasingly challenging system operation and planning.


Item Type Articles
CreatorsZhang, Z., Li, R., Zhao, C. and Li, F.
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URLURL Type Full-text
Uncontrolled Keywordsconfidence level,profile characterization,renewable generation,solar photovoltaic,variation
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
Faculty of Engineering & Design > Chemical Engineering
Research CentresCentre for Sustainable Power Distribution
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
Centre for Doctoral Training in Decarbonisation of the Built Envinronment (dCarb)
ID Code54586


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