Optimal Configuration Method of Harmonic Measuring Devices in Distribution Network Based on Power Big Data and Fuzzy Matching Algorithm

There is a significant difference between the measured values and the actual values of the distribution network harmonic measurement device. It is necessary to design a new optimization configuration method for the distribution network harmonic measurement device based on power big data and fuzzy ma...

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Bibliographic Details
Published in:2024 International Conference on Artificial Intelligence and Power Systems (AIPS) pp. 1 - 4
Main Author: Zhang, Yue
Format: Conference Proceeding
Language:English
Published: IEEE 19.04.2024
Subjects:
Big Data
Configuration
Distribution network
Distribution networks
Electric power big data
Fuzzy matching algorithm
Harmonic analysis
Harmonic wave
Measurement uncertainty
Measuring device
Monitoring
Optimal
Optimization
Power measurement
Power system harmonics
Power system reliability
Reliability engineering
way
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Summary:There is a significant difference between the measured values and the actual values of the distribution network harmonic measurement device. It is necessary to design a new optimization configuration method for the distribution network harmonic measurement device based on power big data and fuzzy matching algorithm. Based on big data, the optimization process of generating harmonic detection devices in the distribution network was carried out, and the optimization configuration of harmonic monitoring devices in the distribution network was carried out. The experimental results show that this method has good configuration effect, high measurement accuracy, reliability, and certain application value, making a certain contribution to reducing harmonic detection errors in distribution networks.
DOI:10.1109/AIPS64124.2024.00007