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Providing a guaranteed power for the BTS in telecom tower based on improved balanced owl search algorithm
Li,Daming1,2,3; Deng,Lianbing1,2,4; Su,Qinglang3; Song,Yonghua5
2020-11-01
Source PublicationEnergy Reports
ISSN2352-4847
Volume6Pages:297-307
Abstract

The telecommunication industry is the technology of communication among humankind. One problem for this industry is to provide the required energy for its towers in the remote rural areas in the absence of the grid. This objection causes dependency of this industry to the diesel generators and battery banks as backup resources. Despite not being resilient and the effect of environment for the power supplies in diesel generators is still widespread. This paper presents a new optimized and environmentalist power supply configuration for the telecommunication tower based on the proton exchange membrane fuel cell (PEMFC). An optimized PI-based converter is also utilized to keep the source value reliable. For achieving optimized results for the PI controller, a developed version of the owl search algorithm is proposed. Simulation results have been applied in different conditions and the results are compared with Ziegler–Nichols, particle swarm optimization algorithm, and emperor penguins optimizer based PI controller to show the excellence of the proposed method.

KeywordBoost Converter Dc Distribution Improved Owl Search Algorithm Pemfc Telecom Tower Voltage Regulation
DOI10.1016/j.egyr.2020.01.006
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:000602755200025
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorDeng,Lianbing
Affiliation1.The Post-Doctoral Research Center of Zhuhai Da Hengqin Science and Technology Development Co.,Ltd,Guangdong Hengqin New Area,519031,China
2.Guangdong Qinzhi Science and Technology Research Institute,Guangdong Hengqin New Area,519031,China
3.Institute of Data Science,City University of Macau,Macau,999078,China
4.Huazhong University of Science and Technology,Hubei Wuhan,430074,China
5.Macao University,Macau,999078,China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li,Daming,Deng,Lianbing,Su,Qinglang,et al. Providing a guaranteed power for the BTS in telecom tower based on improved balanced owl search algorithm[J]. Energy Reports,2020,6:297-307.
APA Li,Daming,Deng,Lianbing,Su,Qinglang,&Song,Yonghua.(2020).Providing a guaranteed power for the BTS in telecom tower based on improved balanced owl search algorithm.Energy Reports,6,297-307.
MLA Li,Daming,et al."Providing a guaranteed power for the BTS in telecom tower based on improved balanced owl search algorithm".Energy Reports 6(2020):297-307.
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