Usability Evaluation for Power Quality Disturbance Data

During the acquisition of power quality disturbance data, the data quality may be affected to varying degrees due to system equipment failures or human maloperations. Accurate evaluation of the data availability level is a prerequisite for subsequent data cleaning and analysis. The existing methods usually adopt a single index to evaluate the partial data quality but are difficult to quantify to what extent the data can be utilized in the following analysis. In view of this, combined with its own characteristics of the power quality disturbance, this paper adopts multiple monitoring frequency correlation to evaluate the data timeliness. For the accuracy evaluation fails to detect the connection errors, an accuracy evaluation method based on the hierarchical rule test is proposed to improve the reliability After analyzing the influence of different dimension data qualities on the perturbation analysis results, the availability evaluation method of the power quality disturbance data is proposed.