Fuzzy Logic-based Management of Hybrid Distribution Transformers Using LoRa Technology

Abstract

Hybrid distribution transformers (HDTs) have better performance than traditional distribution transformers in improving power quality through reducing harmonics, unbalance, voltage fluctuations and low power factors in future smart power distribution systems. In order to increase the service life and reliability of hybrid distribution transformers, this paper proposes a remote management system using LoRa technology based on fuzzy logic. HDT based on a fuzzy logic judgment system (FLJS) replaces the Boolean logic with fuzzy logic and several power quality problems including power factors, load-side current harmonics and voltage unbalance are considered, as well as grid-side voltage deviation and unbalance. This management system can dynamically adjust the working states of HDT according to the output results of the FLJS to reduce the use time of power electronic devices. Due to the application of LoRa, this management system can remotely adjust the parameters of the FLJS in real time for different distribution network nodes to avoid frequent switching of HDT working states. In addition, it is able to remotely monitor the real-time working states and fault states of HDT to reduce recovery time and maintenance costs in case of HDT failure. Finally, simulation and experimental results are presented to verify the effectiveness of the proposed management system for HDT.