Abstract
This paper presents three applications to transform the power quality (PQ) monitoring data into the useful information. With the increasing volume of the PQ monitoring data, mining the values of the data is very important for the power system operations. Three applications are introduced with the PQ monitoring data in Guangzhou grid, China. Firstly, the cumulative probability of PQ monitoring data is applied to certificate the PQ limits according to the national standards. Secondly, three types of voltage sags are counted by the PQ monitoring data to show the severity of voltage sags in local grid. Thirdly, the correlation analysis is applied to show the impact of PQ problem on the device malfunctions. The correlation coefficients between the PQ monitoring data and the device malfunction data can show the impacts of PQ problems on the devices directly. The malfunctions of capacitors/inductors are relevant to the voltage deviation and harmonic distortion obviously which is shown by the correlation coefficients. It is a good attempt to translate the PQ monitoring data into the useful information, which can help the operators decide.
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