Power System Monitoring and Fault Identification using Modified PMU

Abstract

The world's modernization resulted to a sharp rise in the demand for power. Decentralized power generation and the inclusion of renewable energy sources are making power system operation more complex. As a result, power system monitoring and measurement also became more complicated. One of the main disadvantages of power system monitoring is the slower rate of the measurement and monitoring data obtained from the current power system monitoring techniques, such as Supervisory Control and Data Acquisition (SCADA), and Energy Management Systems (EMS). As they only provide a limited amount of information on the parameters of the power system. Therefore, it is necessary to improve the current power system monitoring techniques for gathering data from the power system. Here the Phasor Measurement Units (PMUs) play an important role in modern power system monitoring because they provide high-precision real-time measurements of electrical parameters/characteristics. However, conventional PMUs frequently struggle with dynamic state tracking and effective data handling during post-fault investigation. This paper introduces the Modified PMU (MPMU) framework, which improves the monitoring of power system in dynamic state, by introducing the conditional based data storage system, the enhanced data is compressed, to enable efficient post fault analysis.. Simulation results show that the suggested approach improves power system situational awareness while minimizing data processing latency.