DocumentCode :
172502
Title :
Lossy energy storage to cut power costs
Author :
Rezaeian, Mehdi ; Andrew, Lachlan L. H.
Author_Institution :
Fac. of Inf. Technol., Monash Univ., Clayton, VIC, Australia
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
628
Lastpage :
633
Abstract :
Under dynamic pricing, organizations can reduce their electricity cost by varying their load with price. When the end load is inflexible, storage can match the energy draw from the grid to the price. In this paper we present a general model for power cost management by shifting demand for high power away from high electricity price periods through imperfect energy storages. Using Lyapunov optimization, we present a policy that achieves a solution with bounded suboptimality. We demonstrate that the sampling rate must increase as either the battery capacity decreases or the charge rate increases.
Keywords :
Lyapunov methods; cost reduction; energy storage; optimisation; power grids; power system economics; power system management; pricing; secondary cells; Lyapunov optimization; battery capacity; dynamic pricing; electricity cost reduction; electricity demand shifting; load variation; lossy energy storage; power cost cutting; power cost management; power grid; Batteries; Conferences; Discharges (electric); Electricity; Greedy algorithms; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFCOMW.2014.6849304
Filename :
6849304
Link To Document :
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