Fault Detection in IEEE 14-Bus Power System with DG Penetration Using Wavelet Transform
For power system engineers, this work offers an improved disturbance detection method for grids with renewable DG penetration, though it is an incremental application of existing wavelet techniques.
This paper applies wavelet transform to detect islanding and fault disturbances in an IEEE 14-bus power system with distributed generation (DG) penetration, using energy and standard deviation as performance indices. The proposed method demonstrates better performance compared to existing detection techniques.
Wavelet transform is proposed in this paper for detection of islanding and fault disturbances distributed generation (DG) based power system. An IEEE 14-bus system with DG penetration is considered for the detection of disturbances under different operating conditions. The power system is a hybrid combination of photovoltaic, and wind energy system connected to different buses with different level of penetration. The voltage signal is retrieved at the point of common coupling (PCC) and processed through wavelet transform to detect the disturbances. Further, energy and standard deviation (STD) as performance indices are evaluated and compared with a suitable threshold in order to analyze a disturbance condition. Again, a comparative analysis between the existing and proposed detection is studied to prove the better performance of wavelet transform.