Data Loss Mitigation Mechanism using Compressive Sensing for Smart Grids

For the stability and maintenance of Smart Grids, a vast amount of power system data like synchrophasor data need to be collected and processed. Loss of power system data poses severe problems in operation and control of Smart Grids. Data loss may occur due to the transmission medium, congestion, sensor faults, etc. To tackle the data loss, a Compressive Sensing (CS) based data loss mitigation mechanism is proposed in this paper. In this mechanism, redundant data is transmitted to tackle the losses, and it consists of two techniques, feedback based technique and non-feedback technique. Feedback based technique primarily depends upon the data loss rate. In non-feedback based technique irrespective of data loss rate fixed redundancy is maintained. In the present work, an extensive simulated analysis is performed using synchrophasor data obtained from a Phasor Measurement Unit (PMU) for different data loss pattern (random, continuous) and rate (0 to 40%). It is observed that using the proposed mechanism; higher data loss rates are tackled with minimal degradation in reconstruction quality.