Time structure of the distortion source identification of the electric power quality indicators and hardware and software system for its reduction

Abstract

THE PURPOSE. Investigation of the time structure forthedistortion source identification of the electric power quality and a method for its reduction using of a mobile software and hardware instrumentation system.METHODS. The analysis of the number of complaints regarding low-quality electric power, the structure and values of the time spent on the identification of the distortion sources of the electric power quality indicators (PQI) for the standard values, taking into account all its components, was carried out.RESULTS. It is determined that the number of complaints received by the power grid company regarding lowquality electric powerremains high. At the same time, it takes a long time to identify the distortionsource before putting in place the necessary remedial measures. According to the analyzed data, it can take up to 21 days. The number of cases when the distortion source of the PQI couldn’t be detected within two days was 117 cases of 419 analyzed. The solutions to reduce this time are proposed.CONCLUSIONS. The solutions presented in the article make it possible to reduce the time spent on the source distortion identificationofthe PQI due to the use of a mobile hardware and software instrumentation system (HSIS). A variant of the HSIS structure is proposed, which includes sensors and the HSIS central unit. The proposed HSIS can be used in the absence of external communication channels through the use of data transmitted from the sensors of the system to the central unit using Long Range (LORA) or Wireless Fidelity (Wi-Fi) technologies. In addition, the HSIS provides time synchronization of all the sensors.