Optimal scheduling of networked energy storages

Bharath R. Vellaboyana; Afshin Oroojlooyjadid; Dariush Fooladivanda; Joshua A. Taylor; Lawrence V. Snyder

doi:10.1109/GlobalSIP.2015.7418344

Optimal scheduling of networked energy storages

Bharath R. Vellaboyana, Afshin Oroojlooyjadid, Dariush Fooladivanda, Joshua A. Taylor, Lawrence V. Snyder

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The penetration of renewable energy has been increasing rapidly through out the world. But its generation is intermittent unlike conventional sources. Energy storages provide an environmentally sustainable mechanism to reduce its variability. And given the geographically distributed nature of renewable energy sources, using a network of energy storages instead of using centralized ones can be helpful in avoiding congestion in transmission networks. In this paper we study a power system with such a network of storages. We provide a stochastic formulation to obtain the optimal scheduling policy for it. We show that the problem of calculating that policy is not convex in general and we find sufficient conditions for convexity. We also propose and numerically evaluate a heuristic algorithm which provides sub-optimal policies when the problem is non-convex.

Original language	English (US)
Title of host publication	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	982-986
Number of pages	5
ISBN (Electronic)	9781479975914
DOIs	https://doi.org/10.1109/GlobalSIP.2015.7418344
State	Published - Feb 23 2016
Externally published	Yes
Event	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States Duration: Dec 13 2015 → Dec 16 2015

Publication series

Name	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Other

Other	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Country/Territory	United States
City	Orlando
Period	12/13/15 → 12/16/15

All Science Journal Classification (ASJC) codes

Information Systems
Signal Processing

Access to Document

10.1109/GlobalSIP.2015.7418344

Cite this

Vellaboyana, B. R., Oroojlooyjadid, A., Fooladivanda, D., Taylor, J. A., & Snyder, L. V. (2016). Optimal scheduling of networked energy storages. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (pp. 982-986). Article 7418344 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2015.7418344

Vellaboyana, Bharath R. ; Oroojlooyjadid, Afshin ; Fooladivanda, Dariush et al. / Optimal scheduling of networked energy storages. 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 982-986 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).

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abstract = "The penetration of renewable energy has been increasing rapidly through out the world. But its generation is intermittent unlike conventional sources. Energy storages provide an environmentally sustainable mechanism to reduce its variability. And given the geographically distributed nature of renewable energy sources, using a network of energy storages instead of using centralized ones can be helpful in avoiding congestion in transmission networks. In this paper we study a power system with such a network of storages. We provide a stochastic formulation to obtain the optimal scheduling policy for it. We show that the problem of calculating that policy is not convex in general and we find sufficient conditions for convexity. We also propose and numerically evaluate a heuristic algorithm which provides sub-optimal policies when the problem is non-convex.",

author = "Vellaboyana, {Bharath R.} and Afshin Oroojlooyjadid and Dariush Fooladivanda and Taylor, {Joshua A.} and Snyder, {Lawrence V.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",

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Vellaboyana, BR, Oroojlooyjadid, A, Fooladivanda, D, Taylor, JA & Snyder, LV 2016, Optimal scheduling of networked energy storages. in 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015., 7418344, 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 982-986, IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, United States, 12/13/15. https://doi.org/10.1109/GlobalSIP.2015.7418344

Optimal scheduling of networked energy storages. / Vellaboyana, Bharath R.; Oroojlooyjadid, Afshin; Fooladivanda, Dariush et al.
2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 982-986 7418344 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The penetration of renewable energy has been increasing rapidly through out the world. But its generation is intermittent unlike conventional sources. Energy storages provide an environmentally sustainable mechanism to reduce its variability. And given the geographically distributed nature of renewable energy sources, using a network of energy storages instead of using centralized ones can be helpful in avoiding congestion in transmission networks. In this paper we study a power system with such a network of storages. We provide a stochastic formulation to obtain the optimal scheduling policy for it. We show that the problem of calculating that policy is not convex in general and we find sufficient conditions for convexity. We also propose and numerically evaluate a heuristic algorithm which provides sub-optimal policies when the problem is non-convex.

AB - The penetration of renewable energy has been increasing rapidly through out the world. But its generation is intermittent unlike conventional sources. Energy storages provide an environmentally sustainable mechanism to reduce its variability. And given the geographically distributed nature of renewable energy sources, using a network of energy storages instead of using centralized ones can be helpful in avoiding congestion in transmission networks. In this paper we study a power system with such a network of storages. We provide a stochastic formulation to obtain the optimal scheduling policy for it. We show that the problem of calculating that policy is not convex in general and we find sufficient conditions for convexity. We also propose and numerically evaluate a heuristic algorithm which provides sub-optimal policies when the problem is non-convex.

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Vellaboyana BR, Oroojlooyjadid A, Fooladivanda D, Taylor JA, Snyder LV. Optimal scheduling of networked energy storages. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 982-986. 7418344. (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). doi: 10.1109/GlobalSIP.2015.7418344

Optimal scheduling of networked energy storages

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