Optimized Energy Procurement for Cellular Networks with Uncertain Renewable Energy Generation

Handle URI:
http://hdl.handle.net/10754/623884
Title:
Optimized Energy Procurement for Cellular Networks with Uncertain Renewable Energy Generation
Authors:
Rached, Nadhir B.; Ghazzai, Hakim; Kadri, Abdullah; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Renewable energy (RE) is an emerging solution for reducing carbon dioxide (CO2) emissions from cellular networks. One of the challenges of using RE sources is to handle its inherent uncertainty. In this paper, a RE powered cellular network is investigated. For a one-day operation cycle, the cellular network aims to reduce energy procurement costs from the smart grid by optimizing the amounts of energy procured from their locally deployed RE sources as well as from the smart grid. In addition to that, it aims to determine the extra amount of energy to be sold to the electrical grid at each time period. Chance constrained optimization is first proposed to deal with the randomness in the RE generation. Then, to make the optimization problem tractable, two well- know convex approximation methods, namely; Chernoff and Chebyshev based-approaches, are analyzed in details. Numerical results investigate the optimized energy procurement for various daily scenarios and compare between the performances of the employed convex approximation approaches.
KAUST Department:
King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia
Citation:
Ben Rached N, Ghazzai H, Kadri A, Alouini M-S (2016) Optimized Energy Procurement for Cellular Networks with Uncertain Renewable Energy Generation. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2016.7842105.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE Global Communications Conference (GLOBECOM)
Issue Date:
7-Feb-2017
DOI:
10.1109/glocom.2016.7842105
Type:
Conference Paper
Sponsors:
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.
Additional Links:
http://ieeexplore.ieee.org/document/7842105/
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorRached, Nadhir B.en
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorKadri, Abdullahen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-05-31T11:23:11Z-
dc.date.available2017-05-31T11:23:11Z-
dc.date.issued2017-02-07en
dc.identifier.citationBen Rached N, Ghazzai H, Kadri A, Alouini M-S (2016) Optimized Energy Procurement for Cellular Networks with Uncertain Renewable Energy Generation. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2016.7842105.en
dc.identifier.doi10.1109/glocom.2016.7842105en
dc.identifier.urihttp://hdl.handle.net/10754/623884-
dc.description.abstractRenewable energy (RE) is an emerging solution for reducing carbon dioxide (CO2) emissions from cellular networks. One of the challenges of using RE sources is to handle its inherent uncertainty. In this paper, a RE powered cellular network is investigated. For a one-day operation cycle, the cellular network aims to reduce energy procurement costs from the smart grid by optimizing the amounts of energy procured from their locally deployed RE sources as well as from the smart grid. In addition to that, it aims to determine the extra amount of energy to be sold to the electrical grid at each time period. Chance constrained optimization is first proposed to deal with the randomness in the RE generation. Then, to make the optimization problem tractable, two well- know convex approximation methods, namely; Chernoff and Chebyshev based-approaches, are analyzed in details. Numerical results investigate the optimized energy procurement for various daily scenarios and compare between the performances of the employed convex approximation approaches.en
dc.description.sponsorshipThis 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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7842105/en
dc.titleOptimized Energy Procurement for Cellular Networks with Uncertain Renewable Energy Generationen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabiaen
dc.identifier.journal2016 IEEE Global Communications Conference (GLOBECOM)en
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar University, Doha, Qataren
kaust.authorRached, Nadhir B.en
kaust.authorAlouini, Mohamed-Slimen
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