Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm
Nowadays, because of the population growth, the electricity supplying has faced different several types of issues. An example of these issues is about telecommunication stations (BTS), which are sometimes built at high altitudes with difficult access. Due to the abundance of these stations around th...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-11-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721003309 |
| _version_ | 1819174792113160192 |
|---|---|
| author | Maoqing Xie Leigang Wang Hasan Jafari |
| author_facet | Maoqing Xie Leigang Wang Hasan Jafari |
| author_sort | Maoqing Xie |
| collection | DOAJ |
| description | Nowadays, because of the population growth, the electricity supplying has faced different several types of issues. An example of these issues is about telecommunication stations (BTS), which are sometimes built at high altitudes with difficult access. Due to the abundance of these stations around the world, it is certain that choosing the optimal method to supply them with energy will save significant electricity costs. A new optimized and clean system by the proton exchange membrane fuel cell (PEMFC) is proposed in this study to achieve a consistent supply system for the telecommunication towers. The main purpose is to present an optimal regulated output voltage from PEMFC to the BTS to provide a safe power for the Telecom system. To do so, an optimal PI controller based on a new designed metaheuristic, called Courtship Learning-based Water Strider Algorithm (clWSA) is introduced. A comparison of the final achievements of the regulator with some other techniques are carried out to show the proposed system superiority against them. |
| first_indexed | 2024-12-22T20:44:36Z |
| format | Article |
| id | doaj.art-a81ad40afac74b4f8ddc03c30826838e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-22T20:44:36Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-a81ad40afac74b4f8ddc03c30826838e2022-12-21T18:13:15ZengElsevierEnergy Reports2352-48472021-11-01732253237Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider AlgorithmMaoqing Xie0Leigang Wang1Hasan Jafari2School of Materials Science and Engineering, Jiangsu University, Jiangsu, 212013, ChinaSchool of Materials Science and Engineering, Jiangsu University, Jiangsu, 212013, China; Corresponding author.Young Researchers and Elite Club, Islamic Azad University, Ardabil Branch, Ardabil, IranNowadays, because of the population growth, the electricity supplying has faced different several types of issues. An example of these issues is about telecommunication stations (BTS), which are sometimes built at high altitudes with difficult access. Due to the abundance of these stations around the world, it is certain that choosing the optimal method to supply them with energy will save significant electricity costs. A new optimized and clean system by the proton exchange membrane fuel cell (PEMFC) is proposed in this study to achieve a consistent supply system for the telecommunication towers. The main purpose is to present an optimal regulated output voltage from PEMFC to the BTS to provide a safe power for the Telecom system. To do so, an optimal PI controller based on a new designed metaheuristic, called Courtship Learning-based Water Strider Algorithm (clWSA) is introduced. A comparison of the final achievements of the regulator with some other techniques are carried out to show the proposed system superiority against them.http://www.sciencedirect.com/science/article/pii/S2352484721003309TelecomProton exchange membrane fuel cellVoltage regulationOptimizationBase transceiver stationCourtship Learning-based Water Strider Algorithm |
| spellingShingle | Maoqing Xie Leigang Wang Hasan Jafari Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm Energy Reports Telecom Proton exchange membrane fuel cell Voltage regulation Optimization Base transceiver station Courtship Learning-based Water Strider Algorithm |
| title | Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm |
| title_full | Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm |
| title_fullStr | Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm |
| title_full_unstemmed | Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm |
| title_short | Optimal formation of a PEMFC-based telecom tower using Courtship Learning-based Water Strider Algorithm |
| title_sort | optimal formation of a pemfc based telecom tower using courtship learning based water strider algorithm |
| topic | Telecom Proton exchange membrane fuel cell Voltage regulation Optimization Base transceiver station Courtship Learning-based Water Strider Algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721003309 |
| work_keys_str_mv | AT maoqingxie optimalformationofapemfcbasedtelecomtowerusingcourtshiplearningbasedwaterstrideralgorithm AT leigangwang optimalformationofapemfcbasedtelecomtowerusingcourtshiplearningbasedwaterstrideralgorithm AT hasanjafari optimalformationofapemfcbasedtelecomtowerusingcourtshiplearningbasedwaterstrideralgorithm |