2021
DOI: 10.3390/app11167313
|View full text |Cite
|
Sign up to set email alerts
|

Long-Lifetime Event-Driven Wireless Monitoring System for Pole-Mounted Transformers

Abstract: As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abno… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 27 publications
(59 reference statements)
0
1
0
Order By: Relevance
“…The insulation system is the most temperature-sensitive component of a transformer. For this reason, according to many authors, the lifetime of a transformer is the same as the lifetime of its insulation system [25][26][27].…”
Section: Effects Of Increased Temperature In the Transformermentioning
confidence: 99%
“…The insulation system is the most temperature-sensitive component of a transformer. For this reason, according to many authors, the lifetime of a transformer is the same as the lifetime of its insulation system [25][26][27].…”
Section: Effects Of Increased Temperature In the Transformermentioning
confidence: 99%
“…However, it has a number of limitations and challenges. Firstly, the limited lifetime of batteries leads to the problem that devices need to be replaced frequently when the battery is exhausted [5,6] . This not only increases the maintenance costs, but also may lead to device downtime during battery replacement, thus increasing the risk of power network failure.…”
Section: Introductionmentioning
confidence: 99%