Decomposition of Stochastic Power Management for Wireless Base Station in Smart Grid

Author

Kaewpuang, Rakpong ; Niyato, Dusit ; Wang, Ping

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore

Volume

1

Issue

2

fYear

2012

fDate

4/1/2012 12:00:00 AM

Firstpage

97

Lastpage

100

Abstract

We propose a stochastic power management (SPM) algorithm for a wireless base station to optimize the power consumption (i.e., minimizing the power cost while meeting wireless traffic demand). This SPM algorithm is developed for a smart grid environment which takes a renewable power source and time-varying power price into account. An optimization model is developed to obtain an optimal solution of the SPM algorithm. This optimization model considers various uncertainties including power price, renewable power, and wireless traffic load. Benders decomposition method is applied to reduce the execution time of obtaining the optimal solution for the SPM algorithm.

Keywords

demand side management; radio equipment; smart power grids; stochastic programming; Benders decomposition; optimization model; renewable power source; smart grid; stochastic power management; time-varying power price; wireless base station; wireless traffic demand; Base stations; Batteries; Optimization; Power demand; Smart grids; Stochastic processes; Wireless communication; Benders decomposition; smart grid; stochastic programming; wireless base station;

fLanguage

English

Journal_Title

Wireless Communications Letters, IEEE

Publisher

ieee

ISSN

2162-2337

Type

jour

DOI

10.1109/WCL.2012.020612.110197

Filename

6151755