  This paper presents an improved secondary voltage control (SVC) methodology
incorporating compressive sensing (CS) for a multi-area power system. SVC
minimizes the voltage deviation of the load buses while CS deals with the
problem of the limited bandwidth capacity of the communication channel by
reducing the size of massive data output from phasor measurement unit (PMU)
based monitoring system. The proposed strategy further incorporates the
application of a Morphological Median Filter (MMF) to reduce noise from the
output of the PMUs. To keep the control area secure and protected locally,
Mathematical Singular Entropy (MSE) based fault identification approach is
utilized for fast discovery of faults in the control area. Simulation results
with 27-bus and 486-bus power systems show that CS can reduce the data size up
to 1/10th while the MSE based fault identification technique can accurately
distinguish between fault and steady state conditions.
