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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Veröffentlicht in:	2024 International Conference on Artificial Intelligence and Power Systems (AIPS) S. 1 - 4
1. Verfasser:	Zhang, Yue
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.04.2024
Schlagworte:	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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Beschreibung
Zusammenfassung:	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