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

doi:10.1109/SPAWC53906.2023.10304455

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

Shanghai University
Xidian University
CSIRO
Fudan University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	591-595
Number of pages	5
ISBN (Electronic)	9781665496261
DOIs	https://doi.org/10.1109/SPAWC53906.2023.10304455
Publication status	Published - 2023
Externally published	Yes
Event	24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Shanghai, China Duration: 25 Sept 2023 → 28 Sept 2023

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference	24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Country/Territory	China
City	Shanghai
Period	25/09/23 → 28/09/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/SPAWC53906.2023.10304455

Cite this

Chen, X., Zhang, X., Ni, W., Wang, X., Zhang, S., Sun, Y., & Xu, S. (2023). PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN. In 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings (pp. 591-595). (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC53906.2023.10304455

Chen, Xiaojing ; Zhang, Xiaomei ; Ni, Wei et al. / PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN. 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 591-595 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

@inproceedings{963a9c65e14b4dc2b520d775bf6af1b0,

title = "PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN",

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.",

keywords = "C-RAN, PV panel and battery sizing, resource allocation, smart grid, stochastic optimization",

author = "Xiaojing Chen and Xiaomei Zhang and Wei Ni and Xin Wang and Shunqing Zhang and Yanzan Sun and Shugong Xu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 ; Conference date: 25-09-2023 Through 28-09-2023",

year = "2023",

doi = "10.1109/SPAWC53906.2023.10304455",

language = "English",

series = "IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "591--595",

booktitle = "2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings",

}

Chen, X, Zhang, X, Ni, W, Wang, X, Zhang, S, Sun, Y & Xu, S 2023, PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN. in 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Institute of Electrical and Electronics Engineers Inc., pp. 591-595, 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023, Shanghai, China, 25/09/23. https://doi.org/10.1109/SPAWC53906.2023.10304455

PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN. / Chen, Xiaojing; Zhang, Xiaomei; Ni, Wei et al.
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 591-595 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN

AU - Chen, Xiaojing

AU - Zhang, Xiaomei

AU - Ni, Wei

AU - Wang, Xin

AU - Zhang, Shunqing

AU - Sun, Yanzan

AU - Xu, Shugong

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - C-RAN

KW - PV panel and battery sizing

KW - resource allocation

KW - smart grid

KW - stochastic optimization

UR - https://www.scopus.com/pages/publications/85178568652

U2 - 10.1109/SPAWC53906.2023.10304455

DO - 10.1109/SPAWC53906.2023.10304455

M3 - Conference Proceeding

AN - SCOPUS:85178568652

T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

SP - 591

EP - 595

BT - 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023

Y2 - 25 September 2023 through 28 September 2023

ER -

Chen X, Zhang X, Ni W, Wang X, Zhang S, Sun Y et al. PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN. In 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 591-595. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). doi: 10.1109/SPAWC53906.2023.10304455

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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