Intelligent Monitoring and Diagnosis System of Power Transformers applied Microservice Architecture

Abstract

Abstract This work presents a customized and configurable solution for the online monitoring and diagnosis of power transformers that is already installed in the field and provides the main diagnostics of the asset, such as, aging acceleration factor, hotspot, apparent power, gas generation rate in the oil, temperature for the formation of free water in the oil, for blistering and hot spot formation, water content in the paper. The focus of this article is to describe the embedded system, which covers the hardware part, the information from the sensors installed for asset monitoring and communication with the server, as well as the development of the Web application of the monitoring system, based on the microservices architecture. The solution consists of the analog signal acquisition modules, RS-485 communication module, and digital inputs and outputs module, controlled by the NI central processing unit, CompactRIO through the NI LabVIEW development environment. The embedded system program is based on the MQTT protocol and the "Actor Framework" architecture, where "actors" responsible for the operations within the implemented logic are defined. The access or sending of information is done through messages between the actors, one of whom is responsible for managing the exchange of data between the others. The main focus of this structure is to receive the information from the sensors and link it to a "topic", where the algorithm allows directing this information to the registered senders. This work is part of the ANEEL R&D project to Campolarguense Energy Company - COCEL.

Keywords

• Power transformers
• Online monitoring
• Embedded system
• Labview
• Actor Framework
• MQTT
• Microservice