Smoothing effect of the aggregated photovoltaics power output using mesoscale data: A comparative analysis in the Mediterranean and China

YANG Peijin; GAO Zhiqiu; George Caralis

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Smoothing effect of the aggregated photovoltaics power output using mesoscale data: A comparative analysis in the Mediterranean and China

YANG Peijin 1 #,GAO Zhiqiu 2 *,George Caralis 2

1.School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044

2.School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, 210044

*Correspondence author

#Submitted by

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Funding: none

Opened online:11 March 2015

Accepted by: none

Citation: YANG Peijin,GAO Zhiqiu,George Caralis.Smoothing effect of the aggregated photovoltaics power output using mesoscale data: A comparative analysis in the Mediterranean and China[OL]. [11 March 2015] http://en.paper.edu.cn/en_releasepaper/content/4633117

A mesoscale atmospheric model is applied in the Mediterranean and China in order to analyse and understand the smoothing effect of the aggregated photovoltaics power output. Systematic application of a Mesoscale Weather Prediction Model for one year, in Mediterranean and China, provides simultaneous information of solar radiation in selected points. The hourly time-series data of solar radiation and the estimated energy output of photovoltaics are analysed to show the temporal and spatial variability of solar energy in different time and space scales. Distributed solar generation is today the most common type of decentralized energy production. The results of the current analysis could be useful for power system operators to improve the design and operational strategy of power system with large photovoltaics integration. The parallel analysis in China and Mediterranean and comparisons between sub-regions, show that there is a positive impact thanks to the integration of photovoltaics in wider geographical areas and this information should be definitely taken into consideration from system operators and policy makers towards large scale photovoltaics integration into a large power system.

Keywords:aggregated photovoltaics power output; spatial and temporal variability; smoothing effect.

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