Abstract

The low-voltage distribution network field wiring is very complicated and there are many changes in the relationship between households and changes, which brings great difficulties to the topology identification and line loss management of the transformer area. Aiming at the problems of low-voltage distribution areas physical topology recognition method based on distorted current signal and big data analysis in safety, recognition accuracy, and recognition efficiency, a method for recognizing the physical topology of the low-voltage distribution area based on pulse current characteristics fusion analysis was proposed. The Hilbert-Huang transform method was used to extract the characteristics of the current signal. The Space-time characteristic of charge method based on edge computing was used to realize the verification of low-voltage distribution area topology results. HPLC communication technology and measurement technology were combined to develop a low-voltage distribution area topology recognition monitoring terminal. The monitoring terminal was installed at the key nodes of the low-voltage distribution area such as low-voltage outlet cabinets, branch boxes and meter boxes. The monitoring terminal receives the topology recognition command of concentrator and main distribution area through the HPLC communication channel, uploads the topology recognition results, draws physical topology map of low-voltage distribution area in the main distribution area, and realizes the hierarchical measurement of low-voltage distribution area by the measurement function. The pilot operation of the on-site high-quality distribution area has proven that the monitoring terminal using the low-voltage distribution area physical topology recognition method based on the pulse current feature fusion analysis can map the low-voltage distribution area physical topology safely, quickly and accurately. Furthermore, it can provide strong support for the fine management of the low-voltage distribution area.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call