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Hybrid Renewable Power System for Radio Networks in Mission Critical Applications

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2020 Italy Publisher:IEEEJournal:2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Authors: Rozzi M.; Mascherpa M.; Grimaccia F.; Leva S.;

doi: 10.1109/eeeic/icpseurope49358.2020.9160572

handle: 11311/1167755

Hybrid Renewable Power System for Radio Networks in Mission Critical Applications

- Summary
- Subjects
- Metrics

Abstract

The most frequent problem detected by the companies in the telecommunications sector is the loss of power supply in site, usually located in remote zones. This is more delicate when the radio network has the specific objective to guarantee “mission critical” communications. The object of this study is to propose and evaluate a way to decrease the number of maintenance operations necessary to restore the correct functioning, aiming at previously defined critic and strategic sites in a wide and complex radio network. This to obtain an increased availability, longer continuity and technical and economic benefits. Finally, the developed methods and the algorithms are applied to a real “mission critical” case study.

Country

Italy

Related Organizations

Polytechnic University of Milan
Italy

Keywords

sizing tool for hybrid system, mission critical application, monitoring system, genetic algorithms

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average