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Solar power shaping : an analytical approach
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Ghiassi-Farrokhfal, Yashar, Keshav, Srinivasan, Rosenberg, Catherine and Ciucu, Florin (2015) Solar power shaping : an analytical approach. IEEE Transactions on Sustainable Energy, 6 (1). pp. 162-170. doi:10.1109/TSTE.2014.2359795 ISSN 1949-3029.
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Official URL: http://dx.doi.org/10.1109/TSTE.2014.2359795
Abstract
The focus of our work is the use of an energy storage system (ESS) to integrate solar energy generators into the electrical grid. Although, in theory, an ESS allows intermittent solar power to be shaped to meet any desired load profile, in practice, parsimonious ESS dimensioning is challenging due to the stochastic nature of generation and load and the diversity and high cost of storage technologies. Existing methods for
ESS sizing are based either on simulation or analysis, both of which have shortcomings. Simulation methods are computationally
expensive and depend on the availability of extensive data traces. Existing analytical methods tend to be conservative, overestimating expensive storage requirements. Our key insight is that solar power fluctuations arise at a few distinct time scales. We separately model fluctuations in each time scale, which allows us to accurately estimate ESS performance and efficiently size an ESS. Numerical examples with real data traces show that our model and analysis are tight.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Photovoltaic power generation, Electric power systems -- Simulation methods, System analysis, System design, Stochastic systems, Energy storage | ||||||
Journal or Publication Title: | IEEE Transactions on Sustainable Energy | ||||||
Publisher: | IEEE | ||||||
ISSN: | 1949-3029 | ||||||
Book Title: | 2011 Seventh International Conference on Natural Computation | ||||||
Official Date: | 2015 | ||||||
Dates: |
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Volume: | 6 | ||||||
Number: | 1 | ||||||
Page Range: | pp. 162-170 | ||||||
DOI: | 10.1109/TSTE.2014.2359795 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 4 April 2016 | ||||||
Date of first compliant Open Access: | 4 April 2016 |
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