DocumentCode :
1952904
Title :
An optimal battery energy storage charge/discharge method
Author :
Cialdea, Stephen M. ; Orr, John A. ; Emanuel, Alexander E. ; Tan Zhang
Author_Institution :
Electr. & Comput. Eng. Dept., Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2013
fDate :
21-23 Aug. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Implementing electric energy storage in distribution networks requires that the input and output of the storage units be controlled in a manner to achieve maximum economic benefit. This paper outlines an algorithm that ensures that the battery operate near or at its highest economic potential given predictions of Locational Marginal Pricing (LMP) and the time profile of demand. This is accomplished by using the application of the dynamic programming algorithm. This algorithm is increasingly accurate with complexity and is best coupled with computer simulation.
Keywords :
battery storage plants; dynamic programming; power generation economics; power markets; pricing; LMP; computer simulation; distribution networks; dynamic programming algorithm; electric energy storage; locational marginal pricing; optimal battery energy storage charge=discharge method; Algorithm design and analysis; Batteries; Discharges (electric); Dynamic programming; Heuristic algorithms; Prediction algorithms; BESS charge/discharge; battery storage; dynamic programming; storage economics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power & Energy Conference (EPEC), 2013 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-0105-0
Type :
conf
DOI :
10.1109/EPEC.2013.6802908
Filename :
6802908
Link To Document :
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