Fault Detection and Classification in the IEEE 9-Bus System Integrated with Distributed Generation

The importance of integrating Distributed Generation (DG) into power system networks has increased in recent years due to rising electricity demand and limited production capacity. DG provides various solutions to various challenges, including providing alternative energy sources, reduces losses in transmission & distribution, and enhancing voltage stability etc. However, it also poses difficulties such as optimal placement, sizing, as well as fault detection in the system, etc. This paper proposes a comprehensive approach to address these difficulties through DG optimization and fault detection and classification in the IEEE 9-bus System. The suggested approach optimizes the placement and sizes of DG by minimizing active power losses and improving the voltage profile. The optimal result in the IEEE 9-bus system is achieved with a 40 MW DG unit located at bus location 5. The fault detection and classification aspect utilizes Discrete Wavelet Transform (DWT) techniques to identify abnormal conditions and provide accurate and quick responses to maintain the desired level of reliability in the power system. The proposed approach was tested on different case studies in the MATLAB/SIMULINK environment. The proposed method can quickly detect and respond to all types of power system faults without errors, ensuring the stability of the power system. The research findings have significant implications for the optimal integration of DG in power systems and the development of effective fault detection and classification methods.