Power Transformer Protection Using Ann, Fuzzy System And Clarke’s Transform
Abstract- Power transformer is an electrical equipment that needs continuous monitoring and fast protection since it is very
expensive and an essential element for a power system to perform effectively. The most common protection technique used is
the percentage differential logic, which provides discrimination between different operating conditions and internal fault.
Unfortunately, there are some operating conditions of power transformers that can affect the protection behavior and the
power system stability. This study proposes the development of a new algorithm to improve the protection performance by
using artificial neural networks, Clarke’s transform and fuzzy logic. An electrical power system was modelled using
MATLAB software to obtain the operational conditions and fault situations needed to test the algorithm developed.
Index Terms- Artificial Neural Network (ANN), Clarke’s Transform, differential protection schemes, Fuzzy System (FS)
and Power Transformer.