PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN

Xiaojing Chen*, Xiaomei Zhang, Wei Ni, Xin Wang, Shunqing Zhang, Yanzan Sun, Shugong Xu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

In this paper, we investigate joint photovoltaic (PV) panel/battery sizing and resource allocation for smart-grid powered C-RAN. We aim to minimize the total system cost, including capital expenditure (CAPEX) for PV panel and battery installation and long-term operational expenditure (OPEX). A particle swarm optimization (PSO) based sizing algorithm is developed to determine the sizes of PV panels and batteries offline. Leveraging the stochastic dual-subgradient method, a distributed online resource allocation and energy trading (ORE) algorithm is proposed to make real-time decisions of beamforming, service schedule and energy management. The feasibility and asymptotic optimality of the proposed ORE are established by theoretical analysis based on the Lyapunov optimization.

Original languageEnglish
Title of host publication2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages591-595
Number of pages5
ISBN (Electronic)9781665496261
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Shanghai, China
Duration: 25 Sept 202328 Sept 2023

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Country/TerritoryChina
CityShanghai
Period25/09/2328/09/23

Keywords

  • C-RAN
  • PV panel and battery sizing
  • resource allocation
  • smart grid
  • stochastic optimization

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