Document Type : Reseach Article

Authors

1 Gujarat Technological University, Ahmedabad, India

2 Asst. Prof., Electrical Engineering Department, Government Engineering College - Bharuch, College Road, Old National Highway, Opposite Rest House, Bholav, Bharuch-392002 (Gujarat, India).

3 Department of Electrical Engineering, School of Energy Technology (SoET), Pandit Deendayal Energy University (PDEU), Raysan, PDPU Rd, Gandhinagar, Gujarat, India-382007

4 Government Engineering College, Surat, India

10.30486/mjee.2024.1990740.1172

Abstract

With the incorporation of the various DG sources in the power system, numerous changes appear and have serious effects on the protective scheme. Knowledge of the effect of these energy sources on the dynamics of the power system is utmost necessary. Also, the performance of the protection system under these circumferences needs to be analyzed. Under the penetration of Renewable Energy, it is desired to develop a new technique that can identify the Power Swing conditions and Fault conditions. It is also required to discriminate between stable or balanced power swing and unstable or unbalanced power swing conditions as an unstable swing may result in cascading of the system. Sometimes, the impedance trajectory falls into the tripping zone of the Mho relay used for line protection during stable swing conditions. This situation is unnecessary in terms of the system having a chance to return to its normal state. Hence, in such a situation, it is necessary to identify the proper system conditions and prevent the mal operations of protective devices. The technique suggested here can also able to differentiate between Stable Power Swings and Unstable Power Swing, the latter sometimes leads to maloperation of the system. The Suggested method uses Kalman Filtering due to its adaptability to deal with noisy data, which makes it a valuable and robust tool in the Power System. Considering the rate of change of impedance in real-time, the scheme can correctly identify the stable, unstable power swing and fault situations.

Keywords