Power Quality Assessment of A Wind Power-Integrated System into the Power Grid

Abstract

Power quality (PQ) detection in power systems is a critical aspect of condition monitoring. This helps in ensuring that technical operations are performed within permissible voltage and frequency limits. In this paper, we propose a PQ detection technique for disturbances associated with integrating wind power into the power distribution grid. An Eskom power system with wind power integration is modeled in Digsilent Power Factory software.. Discrete wavelet transform (DWT) is used to decompose voltage signals collected at the source terminals to detect PQ disturbances. The DWT technique is further used to calculate the energy content of the different distorted signals to classify PQ events. This is carried out to analyze the effect of disturbances on voltage and frequency of the power system. The technique aims to detect disturbances such as voltage swell, sag and frequency variations which may arise from integrating wind power into the power grid. From the results presented, it may be concluded operations such as synchronization of the wind power into the grid, power system faults with the integrated wind power and the wind power outage has a negative impact on the PQ of the system. The PQ analysis are analysed used MATLAB.