The section highlights the significance of data logging in analyzing electrical power systems. This process is crucial for preventing faults and enhancing both power quality and consumption efficiency.

Logging data for offline post-processing and further analysis is important for administering electrical power systems. For example, if a voltage event disturbs an electrical power grid, analyze the logged data. Analyzing the logged data helps you identify the location and cause of the fault. Analyzing logged data can help to avoid such fault occurring again in the future. Long-term monitoring of power quality and consumption data can be beneficial to the electrical power industry.

The following three types of data logging are common in the electrical power industry:

  • Waveform data logging for data with high sample rates
  • Disturbance data logging for slower-speed data
  • Trend data logging over a long term

For more information, see the following sections: