Hybrid Control Strategy for 5G Base Station Virtual Battery-Assisted Power Grid Peak Shaving DOI Open Access

Siqiao Zhu,

Rui Ma, Yang Zhou

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(17), P. 3488 - 3488

Published: Sept. 2, 2024

With the rapid development of digital new infrastructure industry, energy demand for communication base stations in smart grid systems is escalating daily. The country vigorously promoting storage industry. However, capacity limited and widely distributed, making it difficult to effectively participate power auxiliary services by only implementing centralized control stations. Aiming at this issue, an interactive hybrid mode between system under station sleep strategy delved into paper. Grounded spatiotemporal traits chemical thermal storage, a virtual battery model established scheduling potential clusters multiple scenarios explored. Then, based on time use electricity price user fitness indicators, with maximum transmission signal minimum operating cost as objective functions, decentralized device used locally quickly regulate system. Furthermore, multi-objective joint peak shaving established, centrally controlling through management Finally, simulation analysis was conducted data from different types region, designing two distinct schemes four regional categories. results demonstrate that proposed can reduce consumption while mitigating fluctuation load.

Language: Английский

Joint Weighted Dynamic Resources Optimisation in Green Open Radio Access Network DOI Creative Commons
Raad S. Alhumaima,

Mohammad Sadon AL-Abadi,

Basit N. Khalaf

et al.

IET Networks, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 1, 2025

ABSTRACT The rapid growth of interconnected devices and data traffic necessitates robust mobile networks, especially in rural areas with unreliable grid power. This paper introduces an optimisation framework for the off‐grid green open radio access network architecture utilising renewable energy to meet this demand. aims optimise power bandwidth allocation, ensuring high rates reliability from sustainable sources. In addition, CO 2 emission factor quality service are also optimised which several assumptions metrics have been incorporated such as consumption (PC), load demand, number virtual machines (VMs) maintenance cost. problem is formulated weighted nonlinear problem. First, model has using simplified rate assumption solved mathematically Lagrange multipliers. Subsequently, mathematical gradient descent numerical solution then compared sequential quadratic programming (SQP) interior point algorithms. second considering noise interference factors; comparative analysis SQP, active set algorithms presented. third case assumed dynamic behaviour users VMs, where numerically. Empirical evidence deployments confirms enhancement coverage provision through integration solar wind‐powered base stations.

Language: Английский

Citations

0
A novel parameterization scheme for accurate and efficient radiation transfer modeling in large-scale PV power plants DOI

X. Zhang,

Kun Yang,

Changkun Shao

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125423 - 125423

Published: Jan. 31, 2025

Language: Английский

Citations

0
A detailed optical thermo-electrical model for better thermal analysis of bifacial PV systems DOI Creative Commons
Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Ali Sohani

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100817 - 100817

Published: Nov. 1, 2024

Language: Английский

Citations

2
Optimization Decision Study of Business Smart Building Clusters Considering Shared Energy Storage DOI Open Access
Wenhui Zhao, Shuting Xu, Peng Guo

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3422 - 3422

Published: April 19, 2024

Smart buildings have a large number of dispatchable resources, both for power production and consumption functions, the energy intelligent building clusters has good complementary interactive relationship, which can better promote local distributed energy. In order to realize goal “dual-carbon” construction new system mainly based on renewable energy, this paper takes Business Building (BSB) cluster with photovoltaic (PV) generation as research object. A peer-to-peer (P2P) trading model shared storage (SES) BSBs is constructed, potential risk stochastic volatility evaluated using conditional value-at-risk (CVaR). Finally, optimal strategy P2P sharing among obtained by solving alternating direction multiplier method (ADMM). The results show that proposed minimize operating cost multi-BSB alliance win–win benefits users operators. Meanwhile, CVaR gives trade-off between risks, satisfy needs decision-makers different preferences in making decisions.

Language: Английский

Citations

1
Hybrid Control Strategy for 5G Base Station Virtual Battery-Assisted Power Grid Peak Shaving DOI Open Access

Siqiao Zhu,

Rui Ma, Yang Zhou

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(17), P. 3488 - 3488

Published: Sept. 2, 2024

With the rapid development of digital new infrastructure industry, energy demand for communication base stations in smart grid systems is escalating daily. The country vigorously promoting storage industry. However, capacity limited and widely distributed, making it difficult to effectively participate power auxiliary services by only implementing centralized control stations. Aiming at this issue, an interactive hybrid mode between system under station sleep strategy delved into paper. Grounded spatiotemporal traits chemical thermal storage, a virtual battery model established scheduling potential clusters multiple scenarios explored. Then, based on time use electricity price user fitness indicators, with maximum transmission signal minimum operating cost as objective functions, decentralized device used locally quickly regulate system. Furthermore, multi-objective joint peak shaving established, centrally controlling through management Finally, simulation analysis was conducted data from different types region, designing two distinct schemes four regional categories. results demonstrate that proposed can reduce consumption while mitigating fluctuation load.

Language: Английский

Citations

0