Fault Detection in IEEE 14-Bus Power System with DG Penetration Using Wavelet Transform
Prakash K. Ray, B. K. Panigrahi, P. K. Rout, Asit Mohanty,, Harishchandra Dubey

TL;DR
This paper proposes using wavelet transform to detect islanding and fault disturbances in a power system with distributed generation, demonstrating improved detection performance over existing methods.
Contribution
It introduces a wavelet transform-based method for disturbance detection in DG-integrated power systems and compares its effectiveness with existing techniques.
Findings
Wavelet transform effectively detects disturbances in DG power systems.
The proposed method outperforms existing detection techniques.
Energy and STD indices reliably indicate disturbance conditions.
Abstract
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.
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