Manutenção preditiva em sistemas elétricos de potência utilizando registros de dispositivos eletrônicos inteligentes (IEDS)

Abstract

Today, electricity generation and transmission utilities are paid for the availability of their transmission functions (FTs) and no longer for what is generated and transmitted in the National Interconnected System (SIN). In this context, more and more efforts are made by the electric energy generation and transmission transmitting utilities so that untimely disconnections do not occur or be avoided. In addition to the loss of revenue when unplanned outages occur in the system, regulators agents, such as the National System Operator and the National Electric Energy Agency, subject utilities to a rigid oversight process. Investments in technology are allowing new directions for the operation and maintenance of power equipment, since high-capacity data-processing devices are enabling optimized predictive maintenance techniques based on the protection, control and monitoring of electrical quantities of the electrical system, as well as guaranteeing the speed and security of information. Intelligent Electronic Devices (IEDs) are multiprocessor systems with hardware and software that continuously work with electrical quantity measurements, protection, command, control, monitoring and have robust memories to record lists of events and waveforms of the analog signals in real time. In this work, real cases will be presented in which FTs shutdowns were avoided with the analysis of the lists of events and waveforms of the IEDs that form the Eletronorte (Pará) substation protection system. This data analysis technique allows the company to perform predictive maintenance of their power equipment in anticipation of the problem, to have useful information to better decision making, as well as to become possible to significantly reduce their financial losses in the operation and maintenance of its electrical system.