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

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

Research output: Contribution to journalArticlepeer-review

16 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 languageEnglish (US)
Pages (from-to)1822-1834
Number of pages13
JournalIEEE Transactions on Smart Grid
Volume9
Issue number3
DOIs
StatePublished - 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.

Funding Information:
29 10.1109/TSG.2016.2601073 0b0000648569a51e Active orig-research F T F F F F F Publish 3 IEEE 1949-3053 © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 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. Wang, X. Xin Wang Xin Xin Wang Wang xwang11@fudan.edu.cn Chen, X. Xiaojing Chen Xiaojing Xiaojing Chen Chen 13210720095@fudan.edu.cn Chen, T. Tianyi Chen Tianyi Tianyi Chen Chen chen3827@umn.edu Huang, L. Longbo Huang Longbo Longbo Huang Huang longbohuang@tsinghua.edu.cn Giannakis, G.B. Georgios B. Giannakis Georgios B. Georgios B. Giannakis Giannakis georgios@umn.edu 2018 May 2016 8 23 2018 4 18 1137842 07549052.pdf 1-1 7549052 Optimization Smart grids Wireless communication Batteries Array signal processing Resource management Planning Two-scale control ahead-of-time market real-time market battery degeneration CoMP systems smart grids Lyapunov optimization National Natural Science Foundation of China 10.13039/501100001809 61671154 Program for New Century Excellent Talents in University 10.13039/501100004602 Innovation Program of Shanghai Municipal Education Commission 10.13039/501100003395 U.S. NSF 10.13039/100000148 ECCS-1509005 ECCS-1508993 CCF-1423316 CCF-1442686 ECCS-1202135 National Basic Research Program of China 2011CBA00300 2011CBA00301 National Natural Science Foundation of China 10.13039/501100001809 61033001 61361136003 61303195 China Youth 1000-Talent Grant

Keywords

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

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