Modern methods of diagnostics and control of high-voltage equipment

High—voltage equipment is the foundation of modern energy, which directly affects the stability of power supply to industrial enterprises, urban networks and infrastructure facilities. Its reliability is determined not only by the quality of manufacture, but also by an effective diagnostic and control system. Modern monitoring methods make it possible not only to identify malfunctions, but also to predict their occurrence, preventing accidents and costly downtime.

Technological evolution of diagnostics

Until a few decades ago, diagnostics of high-voltage installations consisted of periodic visual inspections and manual measurements. Today, they have been replaced by intelligent systems that allow you to receive real-time data, analyze the condition of equipment and automatically detect deviations. These technologies are especially relevant in the context of the digitalization of energy.

Key modern diagnostic methods include:

  • Online parameter monitoring. The use of sensors that detect temperature, vibration and partial discharges without stopping the equipment.
  • Acoustic diagnostics. Acoustic signal analysis helps identify hidden defects in insulation and connections.
  • Thermal imaging control. It allows you to detect local overheating and increased contact resistances that precede an accident.
  • Diagnosis of partial discharges. One of the most accurate ways to assess the insulation condition of high-voltage transformers and circuit breakers.

Thanks to these technologies, engineers can not only maintain equipment on schedule, but also build a predictive maintenance strategy based on the actual condition of the nodes.

Digital solutions and control automation

The transition to smart Grids requires the integration of automated monitoring systems. Today, energy companies are increasingly implementing digital platforms that collect and analyze huge amounts of data, forming a single equipment management center.

The most effective solutions include:

  • SCADA systems. They allow remote monitoring and control of high-voltage devices, recording any changes in parameters.
  • IoT technology. IoT sensors provide continuous transmission of temperature, leakage current, and vibration data.
  • Big Data Analytics. It is used to predict failures and optimize maintenance plans.
  • Cloud platforms. They provide centralized access to diagnostic information for engineers and operators.

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