NDLI: Firming solar power

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Firming solar power

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Firming solar power

Content Provider	ACM Digital Library
Author	Ciucu, Florin Rosenberg, Catherine Ghiassi-Farrokhfal, Yashar Keshav, Srinivasan
Abstract	The high variability of solar power due to intrinsic diurnal variability, as well as additional stochastic variations due to cloud cover, have made it difficult for solar farms to participate in electricity markets that require pre-committed constant power generation. We study the use of battery storage to 'firm' solar power, that is, to remove variability so that such a pre-commitment can be made. Due to the high cost of storage, it is necessary to size the battery parsimoniously, choosing the minimum size to meet a certain reliability guarantee. Inspired by recent work that identifies an isomorphism between batteries and network buffers, we introduce a new model for solar power generation that models it as a stochastic traffic source. This permits us to use techniques from the stochastic network calculus to both size storage and to maximize the revenue that a solar farm owner can make from the day-ahead power market. Using a 10-year of recorded solar irradiance, we show that our approach attains 93% of the maximum revenue in a summer day that would have been achieved in daily market had the entire solar irradiance trace been known ahead of time.
Starting Page	357
Ending Page	358
Page Count	2
File Format	PDF
ISBN	9781450319003
DOI	10.1145/2465529.2465744
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Electricity market Solar power modelling Stochastic network calculus
Content Type	Text
Resource Type	Article

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