research-article

Control of systems that store renewable energy

Authors:

Longbo HuangAuthors Info & Claims

e-Energy '14: Proceedings of the 5th international conference on Future energy systems

Pages 15 - 25

https://doi.org/10.1145/2602044.2602065

Published: 11 June 2014 Publication History

Abstract

This paper studies the control of systems that store renewable energy. The problem is to maximize the long-term utility of the energy by controlling how it is used. The methodology for designing the control policy depends on the size of the battery. If the battery is small, the control policy is determined by solving a Markov decision problem. If the battery is large, this problem is complex, but one can replace it by a simpler problem where the constraint is on the average power usage. When the battery is large, the average power usage should not exceed the average power harvested by the source. When the battery size is moderate, the control is based on the large deviations of the battery charge. This paper illustrates these methods with a number of examples.

References

[1]

H Bevrani, A Ghosh, G Ledwich "Renewable energy sources and frequency regulation: survey and new perspectives," Renewable Power Generation, IET 4, no. 5, pp. 438--457, 2010.

[2]

R. R. Bahadur. "Some Limit Theorems in Statistics," SIAM, Philadelphia, 1971.

[3]

S.R.S. Varadhan. "Large Deviationsand Applications," CBMS86, SIAM, 1986.

[4]

. Dembo, O. Zeitouni. "Large Deviations Techniques and Applications," Springer, 1998.

[5]

J. D. Deuschel, and D. W. Stroock . "Large Deviations," Academic Press, Inc., Boston, MA 1989.

[6]

G. Kesidis, J. Walrand, C. S. Chang, "Effective bandwidths for multiclass Markov fluids and other ATM sources," IEEE/ACM Transactions on Networking, vol. 1, no. 4, pp. 424--428, 1993.

Digital Library

[7]

G. D. Veciana, J. Walrand, "Effective bandwidths: Call admission, traffic policing and filtering for ATM networks." Queueing Systems 20, no. 1, pp. 37--59, 1995.

[8]

R. S. Ellis. "Large Deviations for the Empirical Measure of a Markov Chain with an Application to the Multivariate Empirical Measure," The Annals of Probability, vol. 16, no. 4, Oct., 1988.

[9]

I. H. Dinwoodie, P. Ney. "Occupation measures for Markov chains," Journal of Theoretical Probability, vol. 8, no. 3, pp 679--691, July 1995.

[10]

S. Halfin, W. Whitt. "Heavy-Traffic Limits for Queues with Many Exponential Servers," Operations Research, 1981.

[11]

R. Guerin, H. Ahmadi, M. Naghshineh, "Equivalent capacity and its application to bandwidth allocation in high-speed networks," IEEE Journal on Selected Areas in Communications,vol. 9, no. 7, pp 968--981, 1991.

Digital Library

[12]

O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener, "Transmission with energy harvesting nodes in fading wireless channels: Optimal policies," IEEE Journal on Selected Areas in Communications, vol. 29, no. 8, 2011.

[13]

K. Tutuncuoglu and A. Yener, "Optimum transmission policies for battery limited energy harvesting nodes," IEEE Transactions on Wireless Communications, vol. 11, no. 3, 2012.

[14]

R.-S. Liu, K.-W. Fan, Z. Zheng, and P. Sinha, "Perpetual and fair data collection for environmental energy harvesting sensor networks," IEEE/ACM Transactions on Networking, vol. 19, no. 4, 2011.

Digital Library

[15]

M. Gatzianas, L. Georgiadis, and L. Tassiulas, "Control of wireless networks with rechargeable batteries," IEEE Transactions on Wireless Communications, vol. 9, no. 2, 2010.

Digital Library

[16]

Z. Mao, C. E. Koksal, and N. B. Shroff, "Near optimal power and rate control of multi-hop sensor networks with energy replenishment: Basic limitations with finite energy and data storage," IEEE Transactions on Automatic Control, vol. 57, no. 4, 2012.

[17]

V. Sharma, U. Mukherji, V. Joseph, and S. Gupta, "Optimal energy management policies for energy harvesting sensor nodes," IEEE Transactions on Wireless Communications, vol. 9, no. 4, 2010.

Digital Library

Cited By

Bhat RMotani MLim T(2015)Dual-Path Architecture for Energy Harvesting Transmitters with Battery Discharge Constraints2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2015.7417582(1-6)Online publication date: Dec-2015
https://doi.org/10.1109/GLOCOM.2015.7417582
Bhat RMotani MLim T(2014)Dual-Path Architecture for Energy Harvesting Transmitters with Battery Discharge Constraints2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417582(1-6)Online publication date: Dec-2014
https://doi.org/10.1109/GLOCOM.2014.7417582

Index Terms

Control of systems that store renewable energy
1. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis
2. Theory of computation
  1. Design and analysis of algorithms

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Published In

cover image ACM Conferences

e-Energy '14: Proceedings of the 5th international conference on Future energy systems

June 2014

326 pages

ISBN:9781450328197

DOI:10.1145/2602044

General Chairs:
Jon Crowcroft
University of Cambridge, UK
,
Richard Penty
University of Cambridge, UK
,
Program Chairs:
Jean-Yves Le Boudex
EPFL, Switzerland
,
Prashant Shenoy
University of Massachusetts, Amherst, USA

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2014

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e-Energy '14

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SIGCOMM

e-Energy '14: The Fifth International Conference on Future Energy Systems

June 11 - 13, 2014

Cambridge, United Kingdom

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e-Energy '14 Paper Acceptance Rate 23 of 112 submissions, 21%;

Overall Acceptance Rate 160 of 446 submissions, 36%

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The 16th ACM International Conference on Future and Sustainable Energy Systems

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Cited By

Bhat RMotani MLim T(2015)Dual-Path Architecture for Energy Harvesting Transmitters with Battery Discharge Constraints2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2015.7417582(1-6)Online publication date: Dec-2015
https://doi.org/10.1109/GLOCOM.2015.7417582
Bhat RMotani MLim T(2014)Dual-Path Architecture for Energy Harvesting Transmitters with Battery Discharge Constraints2015 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2014.7417582(1-6)Online publication date: Dec-2014
https://doi.org/10.1109/GLOCOM.2014.7417582

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