Improvement of energy supply configuration for telecommunication system in remote area s based on improved chaotic world cup optimization algorithm

Huan Li, Kun Li, Nicholas Zafetti and Jianfeng Gu

Energy, 2020, vol. 192, issue C

Abstract: Generally, using the telecommunication industry in remote rural areas which can’t use the grid is difficult. This issue makes this industry to be extremely dependent on the diesel generators and battery banks for having backup resources. Despite, the unreliability and the environment impacts of these power supplies, using diesel generators is still popular. In this paper, a new clean and optimized configuration based on the proton exchange membrane fuel cell (PEMFC) along with an optimized boost converter unit is proposed for obtaining a reliable source to supply the telecom towers. Using the proposed optimized method makes the cost of telecom companies decreasing. In this study, a feedback controller based on a newly introduced optimization algorithm called improved chaos world cup optimization algorithm is proposed for optimal regulation of the converter unit. The proposed technique provides reliable and high-efficiency performance for the base transceiver station under oscillations on the telecom load and the output voltage of the PEMFC. Simulation results of the proposed optimization method are compared by the traditional Ziegler-Nichols based PI controller and final results showed the superiority of the proposed system.

Keywords: PEMFC; Telecom tower; Base transceiver station; Boost converter; Improved chaotic world cup optimization algorithm; Voltage regulation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219323096
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323096

DOI: 10.1016/j.energy.2019.116614

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().