Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables

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

doi:10.1109/TSG.2016.2601073

Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Increasing threats of global warming and climate changes call for an energy-efficient and sustainable design of future wireless communication systems. To this end, 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, 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 requirements. Leveraging the Lyapunov optimization approach as well as the stochastic subgradient method, a two-scale online control (TS-OC) approach is developed for the resultant smart-grid powered CoMP systems. Using only historical data, the proposed TS-OC makes online control decisions at two timescales, and features a provably feasible and asymptotically near-optimal solution. Numerical tests further corroborate the theoretical analysis, and demonstrate the merits of the proposed approach.

Original language	English (US)
Pages (from-to)	1822-1834
Number of pages	13
Journal	IEEE Transactions on Smart Grid
Volume	9
Issue number	3
DOIs	https://doi.org/10.1109/TSG.2016.2601073
State	Published - May 2018

Bibliographical note

Funding Information:
This work was supported by the National Natural Science Foundation of China under Grant 61671154, the Program for New Century Excellent Talents in University, the Innovation Program of Shanghai Municipal Education Commission, and by the U.S. NSF under Grants ECCS-1509005, ECCS-1508993, CCF-1423316, CCF-1442686, and ECCS-1202135. The work of L. Huang was supported in part by the National Basic Research Program of China under Grant 2011CBA00300 and Grant 2011CBA00301, by the National Natural Science Foundation of China under Grant 61033001, Grant 61361136003, and Grant 61303195, and by the China Youth 1000-Talent Grant.

Publisher Copyright:
© 2016 IEEE.

Keywords

CoMP systems
Lyapunov optimization
Two-scale control
ahead-of-time market
battery degeneration
real-time market
smart grids

UN SDGs

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

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10.1109/TSG.2016.2601073

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title = "Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables",

abstract = "Increasing threats of global warming and climate changes call for an energy-efficient and sustainable design of future wireless communication systems. To this end, 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, 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 requirements. Leveraging the Lyapunov optimization approach as well as the stochastic subgradient method, a two-scale online control (TS-OC) approach is developed for the resultant smart-grid powered CoMP systems. Using only historical data, the proposed TS-OC makes online control decisions at two timescales, and features a provably feasible and asymptotically near-optimal solution. Numerical tests further corroborate the theoretical analysis, and demonstrate the merits of the proposed approach.",

keywords = "CoMP systems, Lyapunov optimization, Two-scale control, ahead-of-time market, battery degeneration, real-time market, smart grids",

author = "Xin Wang and Xiaojing Chen and Tianyi Chen and Longbo Huang and Giannakis, {Georgios B.}",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China under Grant 61671154, the Program for New Century Excellent Talents in University, the Innovation Program of Shanghai Municipal Education Commission, and by the U.S. NSF under Grants ECCS-1509005, ECCS-1508993, CCF-1423316, CCF-1442686, and ECCS-1202135. The work of L. Huang was supported in part by the National Basic Research Program of China under Grant 2011CBA00300 and Grant 2011CBA00301, by the National Natural Science Foundation of China under Grant 61033001, Grant 61361136003, and Grant 61303195, and by the China Youth 1000-Talent Grant. Publisher Copyright: {\textcopyright} 2016 IEEE.",

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N2 - Increasing threats of global warming and climate changes call for an energy-efficient and sustainable design of future wireless communication systems. To this end, 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, 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 requirements. Leveraging the Lyapunov optimization approach as well as the stochastic subgradient method, a two-scale online control (TS-OC) approach is developed for the resultant smart-grid powered CoMP systems. Using only historical data, the proposed TS-OC makes online control decisions at two timescales, and features a provably feasible and asymptotically near-optimal solution. Numerical tests further corroborate the theoretical analysis, and demonstrate the merits of the proposed approach.

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Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables

Abstract

Bibliographical note

Keywords

UN SDGs

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