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