DocumentCode
76702
Title
Optimal Operation of Independent Storage Systems in Energy and Reserve Markets With High Wind Penetration
Author
Akhavan-Hejazi, Hossein ; Mohsenian-Rad, Hamed
Author_Institution
Electr. Eng. Dept., Univ. of California, Riverside, Riverside, CA, USA
Volume
5
Issue
2
fYear
2014
fDate
Mar-14
Firstpage
1088
Lastpage
1097
Abstract
In this paper, we consider a scenario where a group of investor-owned independently-operated storage units seek to offer energy and reserve in the day-ahead market and energy in the hour-ahead market. We are particularly interested in the case where a significant portion of the power generated in the grid is from wind and other intermittent renewable energy resources. In this regard, we formulate a stochastic programming framework to choose optimal energy and reserve bids for the storage units that takes into account the fluctuating nature of the market prices due to the randomness in the renewable power generation availability. We show that the formulated stochastic program can be converted to a convex optimization problem to be solved efficiently. Our simulation results also show that our design can assure profitability of the private investment on storage units. We also investigate the impact of various design parameters, such as the size and location of the storage unit on increasing the profit.
Keywords
convex programming; energy resources; energy storage; power grids; power markets; profitability; stochastic programming; wind power plants; convex optimization problem; energy and reserve market; investor-owned independently-operated storage units; market price; power grid; profitability; renewable energy resources; renewable power generation; stochastic programming; wind penetration; wind power integration; Batteries; Generators; Investment; Optimization; Stochastic processes; Wind power generation; Energy and reserve markets; independent storage systems; stochastic optimization; wind power integration;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2013.2273800
Filename
6576293
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