Two-scale stochastic control for smart-grid powered coordinated multi-point systems

Xiaojing Chen; Tianyi Chen; Xin Wang; Longbo Huang; Georgios B Giannakis

doi:10.1109/GLOCOM.2016.7842358

Two-scale stochastic control for smart-grid powered coordinated multi-point systems

Xiaojing Chen, Tianyi Chen, Xin Wang, Longbo Huang, Georgios B Giannakis

Electrical and Computer Engineering

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

Abstract

In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy transaction cost, subject to the users' quality of service (QoS) requirements. Leveraging the Lyapunov optimization approach and the stochastic subgradient method, a two- scale online control (TS-OC) approach is developed to make online control decisions at two timescales. It is analytically established that the TS-OC is capable of yielding a feasible and asymptotically near-optimal solution.

Original language	English (US)
Title of host publication	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509013289
DOIs	https://doi.org/10.1109/GLOCOM.2016.7842358
State	Published - 2016
Event	59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: Dec 4 2016 → Dec 8 2016

Publication series

Name	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

Other

Other	59th IEEE Global Communications Conference, GLOBECOM 2016
Country/Territory	United States
City	Washington
Period	12/4/16 → 12/8/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GLOCOM.2016.7842358

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Chen, X., Chen, T., Wang, X., Huang, L., & Giannakis, G. B. (2016). Two-scale stochastic control for smart-grid powered coordinated multi-point systems. In 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings Article 7842358 (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2016.7842358

Two-scale stochastic control for smart-grid powered coordinated multi-point systems. / Chen, Xiaojing; Chen, Tianyi; Wang, Xin et al.
2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7842358 (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings).

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

Chen, X, Chen, T, Wang, X, Huang, L & Giannakis, GB 2016, Two-scale stochastic control for smart-grid powered coordinated multi-point systems. in 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings., 7842358, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 59th IEEE Global Communications Conference, GLOBECOM 2016, Washington, United States, 12/4/16. https://doi.org/10.1109/GLOCOM.2016.7842358

Chen X, Chen T, Wang X, Huang L, Giannakis GB. Two-scale stochastic control for smart-grid powered coordinated multi-point systems. In 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7842358. (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings). doi: 10.1109/GLOCOM.2016.7842358

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abstract = "In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy transaction cost, subject to the users' quality of service (QoS) requirements. Leveraging the Lyapunov optimization approach and the stochastic subgradient method, a two- scale online control (TS-OC) approach is developed to make online control decisions at two timescales. It is analytically established that the TS-OC is capable of yielding a feasible and asymptotically near-optimal solution.",

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AB - In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy transaction cost, subject to the users' quality of service (QoS) requirements. Leveraging the Lyapunov optimization approach and the stochastic subgradient method, a two- scale online control (TS-OC) approach is developed to make online control decisions at two timescales. It is analytically established that the TS-OC is capable of yielding a feasible and asymptotically near-optimal solution.

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Two-scale stochastic control for smart-grid powered coordinated multi-point systems

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