Paper Info
Title
Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors
Abstract
Cloud movements lead to the variability of the produced power by a photovoltaic (PV) system. However, the overall variability of the power produced by several adjacent PVs, distributed in any locality, reduces with respect to that area's size. This is referred to as the variability reduction index (VRI) and can be used to estimate the overall produced power by several adjacent PVs as it considers correlation models that represent the timescale and the distances between the PVs, the speed, direction and density of the clouds as well as the PV size. This paper compares different VRI models and proposes an enhanced technique which has a better estimation accuracy. The performance of the developed technique is validated by comparing the estimated power with the actual power for 16 adjacent small-scale rooftop PVs distributed over a kilometer square area in Brisbane, Australia.
Year
DOI
Venue
2018
10.1109/ISIE.2018.8433850
2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)
Keywords
Field
DocType
Distributed Adjacent PVs,Variability Reduction Index,Correlation models
Locality,Control theory,Kilometer,Engineering,Computer engineering,Photovoltaic system,Wavelet transform,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-3706-7
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Hasanain A. H. Al-Hilfi100.34
Farhad Shahnia276.46
Ahmed Abu-Siada377.84