Desenvolvimento da IHM de um sistema de monitoramento de descargas parciais no ambiente de uma subestação de sistemas elétricos.

Abstract

This course work consisted in designing the human-machine interface (HMI) which integrates the partial discharge monitoring system to be used in substations of electrical systems. This project is part of a larger project developed in cooperation between the Universities of Huddersfield and Strathclyde in the United Kingdom (UK) and UFCG in Brazil. For the HMI development it was adopted the Design Method for Ergonomic Interfaces (MCIE), which was developed in the Human-Machine Interfaces Laboratory (LIHM) at the Federal University of Campina Grande (UFCG), and was taught in the discipline Industrial Informatics at the Electrical Engineering Undergraduate Course at UFCG. The HMI project aims to provide the users with resources for: configuring the monitoring environment in a supervisory software; facilitating data input which originates from a set of radiometers and, to display the status of devices monitored by radiometers. The radiometers were developed by the UK team, and are used as partial discharge sensors. The sample data from radiometers used in the construction and testing of HMI was provided by the UK team, in an Excel file, and resulted from experiments with radiometers. These data, acquired during field tests is processed in Matlab / Simulink using an algorithm developed by the UK team, in order to provide the intensity and estimated location of partial discharges inside the electric equipment ina a substation. The HMI component was developed using the IWS tool associated to to InduSoft Web Studio supervisory system. Communication between the supervisory system and Matlab was performed using the OPC protocol (OLE for Process Control). Data acquired from the radiometers are stored in Access files. The HMI developed allows to configure the monitoring environment based on the incoming data, generating screens to display the discharge levels in partial monitored environment; sending alarms and calculating the probable location where levels exceed safe limits. The HMI was tested using the sample data provided by the UK team.