Energy Outage-Aware Power Distribution Scheme for Off-Grid Base Station Operation

This letter describes a theoretical framework for power distribution to minimize an energy outage (EO) of off-grid base stations (BSs) powered by renewable energy sources and battery storage without direct support of an electrical grid. Here, EOs may occur when off-grid BSs cannot meet the power dem...

Full description

Saved in:
Bibliographic Details
Published in:IEEE communications letters 2017-06, Vol.21 (6), p.1401-1404
Main Authors: Jeon, Seung Hyun, Lee, Joohyung, Choi, Jun Kyun
Format: Article
Language:English
Subjects:
Acceptability
Base stations
Batteries
battery capacity
Convergence
Convex functions
Convexity
Demand
Electric power distribution
Electrical loads
Energy conservation
Energy consumption
Energy distribution
energy outage (EO) probability
Energy storage
Load modeling
Mathematical models
Off-grid base station (BS)
Optimization
Power demand
Power distribution
power distribution scheme (PDS)
Renewable energy sources
Stations
Traffic capacity
Traffic engineering
traffic load
Traffic models
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This letter describes a theoretical framework for power distribution to minimize an energy outage (EO) of off-grid base stations (BSs) powered by renewable energy sources and battery storage without direct support of an electrical grid. Here, EOs may occur when off-grid BSs cannot meet the power demand. Thus, considering the transmission power of the BS according to the traffic load and battery capacity, we represent an EO probability model. Using this model, we propose an energy outage-aware power distribution scheme (EO-PDS) for off-grid BSs. The convex optimization problem for minimizing the EO in off-grid BSs is formulated and solved. Numerical results reveal that the proposed scheme significantly reduces the EO probability compared with other existing schemes and has an acceptable convergence time.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2017.2676108