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

32 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

Publisher Copyright:
© 2016 IEEE.

Keywords

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

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