Journal article

Data-Based Statistical Property Analyzing and Storage Sizing for Hybrid Renewable Energy Systems

Peng Li, Roger Dargaville, Feng Liu, Jing Xia, Yong-Duan Song

IEEE Transactions on Industrial Electronics | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2015

Abstract

This paper presents a novel scheme of analyzing the statistical properties and sizing the storage for wind-photovoltaic-storage hybrid systems, based on the data organization and treatment for system optimization. First, the partial Fourier transform is derived for spectrum analysis by utilizing the periodic sparse properties of the solar data. Second, the storage for stabilizing the power variance caused by fluctuating renewable energies and varying grid loads is sized with spectrum analysis of the power data output from the system advisor model. Third, the weighting factor for storage sizing is achieved by constructing a hybrid probability distribution of renewable energies considering the..

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University of Melbourne Researchers

Grants

Awarded by National Key Basic Research Program of China


Awarded by National Natural Science Foundation of China


Awarded by Fundamental Research Funds for the Central Universities


Funding Acknowledgements

This work was supported in part by the National Key Basic Research Program of China under Grant 2012CB215202, in part by the National Natural Science Foundation of China under Grant 51207007 and Grant 51305021, and in part by the Fundamental Research Funds for the Central Universities under Grant 2015JBM003 and Grant 2015JBM002.