Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
by
Mingotti, Alessandro
, Tinarelli, Roberto
, Betti, Christian
, Peretto, Lorenzo
in
Analysis
/ Comparative analysis
/ Current transformers (Instrument transformer)
/ Electric distortion
/ Electric power
/ Electric power systems
/ Evaluation
/ harmonic distortion
/ high frequency
/ indices
/ Innovations
/ instrument transformers
/ Italy
/ Measurement
/ Medical equipment
/ power quality
/ Quality standards
/ Statistics
/ supraharmonics
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
by
Mingotti, Alessandro
, Tinarelli, Roberto
, Betti, Christian
, Peretto, Lorenzo
in
Analysis
/ Comparative analysis
/ Current transformers (Instrument transformer)
/ Electric distortion
/ Electric power
/ Electric power systems
/ Evaluation
/ harmonic distortion
/ high frequency
/ indices
/ Innovations
/ instrument transformers
/ Italy
/ Measurement
/ Medical equipment
/ power quality
/ Quality standards
/ Statistics
/ supraharmonics
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
by
Mingotti, Alessandro
, Tinarelli, Roberto
, Betti, Christian
, Peretto, Lorenzo
in
Analysis
/ Comparative analysis
/ Current transformers (Instrument transformer)
/ Electric distortion
/ Electric power
/ Electric power systems
/ Evaluation
/ harmonic distortion
/ high frequency
/ indices
/ Innovations
/ instrument transformers
/ Italy
/ Measurement
/ Medical equipment
/ power quality
/ Quality standards
/ Statistics
/ supraharmonics
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
Journal Article
Experimental Validation of Simple Power Quality Indices for Frequency Content Assessment up to 150 kHz
2025
Request Book From Autostore
and Choose the Collection Method
Overview
The power system is evolving with the integration of new technologies, including electronic devices and renewable energy sources, which are increasingly used to support new applications, reduce dependence on fossil fuels, and drive system innovation. However, this shift brings a significant drawback: a reduction in power quality (PQ). The literature extensively discusses the impact of poor PQ on electrical assets and explores potential solutions to this new challenge. Building on this foundation, this paper introduces new PQ indices derived from existing metrics and validated on both synthetic and real signals to assess their effectiveness. The aim is to provide researchers and system operators with simple and efficient tools for the clear identification of PQ issues in monitored networks. These new indices are designed to be flexible and independent of acquisition conditions, making them suitable for a wide range of frequencies (e.g., 50 Hz–150 kHz) and applications. After an overview of the PQ landscape, the paper demonstrates the use of these indices on various voltage waveforms, including a case study from a measurement campaign. The promising results indicate that, when combined with existing indices, these new metrics can form a strong foundation for a deeper understanding and more accurate classification of PQ issues in power networks.
Publisher
MDPI AG,Multidisciplinary Digital Publishing Institute (MDPI)
Subject
This website uses cookies to ensure you get the best experience on our website.