Development of a Power Condition Monitoring System in a Hybrid Power Network

This paper presents a fault detection technique implemented in a hybrid power system. The electricity supply trajectory has evolved over the years. The drastic change has been infused by the introduction of the renewable energy base technologies being integrated into the power system grid. Although, there are significant technical benefits from such applications, one of the major draw backs have been the development of rigid protection schemes. This paper presents a hybrid protection scheme for fault classification and detection in a hybrid power system. The scheme uses Hilbert-Huang transform (HHT) to analyze the fault signals and support vector machine (SVM) to classify and detect the faults. The scheme was tested on a 132 kV power system hybrid system. The MATLAB and WEKA platforms were used to formulate the system network and scheme development. The scheme achieved an accuracy of 99.9%.