TY - GEN
T1 - Energy Sharing Framework for Microgrid-Powered Cellular Base Stations
AU - Farooq, Muhammad Junaid
AU - Ghazzai, Hakim
AU - Kadri, Abdullah
AU - Elsawy, Hesham
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was made possible by NPRP grant # 6-001-2-001 from the Qatar National Research Fund (A member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.
PY - 2017/2/7
Y1 - 2017/2/7
N2 - Cellular base stations (BSs) are increasingly becoming equipped with renewable energy generators to reduce operational expenditures and carbon footprint of wireless communications. Moreover, advancements in the traditional electricity grid allow two-way power flow and metering that enable the integration of distributed renewable energy generators at BS sites into a microgrid. In this paper, we develop an optimized energy management framework for microgrid-connected cellular BSs that are equipped with renewable energy generators and finite battery storage to minimize energy cost. The BSs share excess renewable energy with others to reduce the dependency on the conventional electricity grid. Three cases are investigated where the renewable energy generation is unknown, perfectly known, and partially known ahead of time. For the partially known case where only the statistics of renewable energy generation are available, stochastic programming is used to achieve a conservative solution. Results show the time varying energy management behaviour of the BSs and the effect of energy sharing between them.
AB - Cellular base stations (BSs) are increasingly becoming equipped with renewable energy generators to reduce operational expenditures and carbon footprint of wireless communications. Moreover, advancements in the traditional electricity grid allow two-way power flow and metering that enable the integration of distributed renewable energy generators at BS sites into a microgrid. In this paper, we develop an optimized energy management framework for microgrid-connected cellular BSs that are equipped with renewable energy generators and finite battery storage to minimize energy cost. The BSs share excess renewable energy with others to reduce the dependency on the conventional electricity grid. Three cases are investigated where the renewable energy generation is unknown, perfectly known, and partially known ahead of time. For the partially known case where only the statistics of renewable energy generation are available, stochastic programming is used to achieve a conservative solution. Results show the time varying energy management behaviour of the BSs and the effect of energy sharing between them.
UR - http://hdl.handle.net/10754/623829
UR - http://ieeexplore.ieee.org/document/7841800/
UR - http://www.scopus.com/inward/record.url?scp=85015386985&partnerID=8YFLogxK
U2 - 10.1109/glocom.2016.7841800
DO - 10.1109/glocom.2016.7841800
M3 - Conference contribution
SN - 9781509013289
BT - 2016 IEEE Global Communications Conference (GLOBECOM)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -