Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks

Yong, Pei; Zhang, Ning; Hou, Qingchun; Liu, Yuxiao; Teng, Fei; Ci, Song; Chen, Kang

doi:10.1109/tsg.2021.3074754

Cited by 51 publications

(19 citation statements)

References 28 publications

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“…The 5G base station is composed of a power supply system and communication equipment [4] , in addition to some auxiliary equipment such as air conditioning and lighting. Among them, the power supply system includes two sets of power supply systems, they are AC and DC power supply.…”

Section: Composition Of Base Stationsmentioning

confidence: 99%

Dispatching strategy of base station backup power supply considering communication flow variation

Ouyang

Zhang

2023

J. Phys.: Conf. Ser.

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With the mass construction of 5G base stations, the backup batteries of base stations remain idle for most of the time. It is necessary to explore these massive 5G base station energy storage response power transmission network scheduling. In this article, the schedulable capacity of the battery at each time is determined according to the dynamic communication flow, and the scheduling strategy of the standby power considering the dynamic change of communication flow is proposed. In addition, the model of a base station standby battery responding grid scheduling is established. The simulation results show that the standby battery scheduling strategy can perform better than the constant battery capacity.

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Section: Composition Of Base Stationsmentioning

confidence: 99%

Dispatching strategy of base station backup power supply considering communication flow variation

Ouyang

Zhang

2023

J. Phys.: Conf. Ser.

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“…The paper 3 evaluated the reliability of Vehicular Ad Hoc Networks with a particular focus on the availability of hardware and communication channels. Yong et al 4 evaluated the utility of backup batteries in 5G BSs within distribution networks, originally designed for ensuring power reliability, and then modeled to measure BS reliability and establish availability equations based on backup duration. Cellular BSs employ backup batteries for continuous power supply and reliability assurance; hence, research 4 investigated how the surplus capacity in 5G BS backup batteries, influenced by varying electricity demand, can be utilized as a flexible asset for power systems.…”

Section: Introductionmentioning

confidence: 99%

“…Yong et al 4 evaluated the utility of backup batteries in 5G BSs within distribution networks, originally designed for ensuring power reliability, and then modeled to measure BS reliability and establish availability equations based on backup duration. Cellular BSs employ backup batteries for continuous power supply and reliability assurance; hence, research 4 investigated how the surplus capacity in 5G BS backup batteries, influenced by varying electricity demand, can be utilized as a flexible asset for power systems. It assessed this dispatchable capacity in distribution networks, creating a BS reliability model that accounts for network disruptions and battery performance.…”

Section: Introductionmentioning

confidence: 99%

Energy analysis using semi‐Markov modeling for the base station in 5G networks

Aggarwal,

Selvamuthu

2023

Int J Communication

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SummaryWith the increasing prevalence of wireless sensor networks, the uninterrupted operation of these networks becomes essential. To ensure continuous functionality, wireless networks rely on available base stations (BSs). However, the persistent operation of BSs comes at the cost of substantial energy consumption. Consequently, given the surge in wireless network traffic and the necessity for uninterrupted BS availability, energy efficiency within the BS becomes a concerning issue. To address this, the study employs a semi‐Markov model to depict the availability of the BS, with states corresponding to the failures of its components (baseband unit, remote unit, and software module). The analysis yields a steady‐state solution, with reward rates assigned to each state based on the energy consumption of individual BS components. This approach enables the determination of the expected energy consumption within this model. Additionally, the BS's throughput is assessed using an M/G/1 queueing model with server breakdown.

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“…To meet these challenges, advanced infrastructures that perform measurement, communication, computation and control are needed to support the application requirements of monitoring, protection and control of smart DNs. Many literatures have discussed the application of phasor measurement units (PMUs) [2,4], 5G [5], cloud computing [6], edge computing [7] in DNs. Among them, the synchronous measurement technology represented by PMU is considered a promising solution [2,4].…”

Section: Introductionmentioning

confidence: 99%

Fault location method based on structure‐preserving state estimation for distribution networks

Cai

et al. 2022

IET Generation Trans & Dist

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The development and application of information and communication technology in distribution networks (DNs) brings new and abundant measurement data, and this has inspired many solutions for the monitoring, protection and control application of DNs. Against this background, a novel fault location method based on structure-preserving state estimation (SPSE) is proposed to enhance the fault location performance of DNs. A SPSE model that reflects the change in the network topology during fault incidents is constructed by combining classical measurement equations with newly introduced topology equations. Then, a unified faulted structure-preserving topology model that eliminates the influence of uncertain fault location point is presented. According to the calculated measurement residual indices and the equivalent fault current for each state estimation (SE) section, the location of the fault is determined. Considering different fault scenarios in a distribution network, the performance of the proposed method is tested by using MATLAB software. Moreover, the factors of sensor accuracy, the bad data and data missing issues are considered. The test results demonstrate that the method can precisely determine the real location of fault and has good robustness to possible data anomalies.

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Evaluating the Dispatchable Capacity of Base Station Backup Batteries in Distribution Networks

Cited by 51 publications

References 28 publications

Dispatching strategy of base station backup power supply considering communication flow variation

Dispatching strategy of base station backup power supply considering communication flow variation

Energy analysis using semi‐Markov modeling for the base station in 5G networks

Fault location method based on structure‐preserving state estimation for distribution networks

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