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
Link To Document :
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