Power systems are becoming increasingly complex, handling rising shares
of distributed intermittent renewable generation, EV charging stations,
and storage. To ensure power availability and quality, the grid needs to
be monitored as a whole, by wide area monitoring (WAM), not just in
small sections separately. Parameter oscillations need to be detected
and acted upon. This requires sensors, data assimilation and
visualization, comparison with models, modelling, and system
architectures for different grid types.
This hands-on reference for researchers in power systems, professionals
at grid operators and grid equipment manufacturers, as well as for
advanced students, offers a comprehensive treatment of advanced
data-driven signal processing techniques for the analysis and
characterization of system data and transient oscillations in power
grids. Algorithms and examples help readers understand the material.
Challenges involved in realistic monitoring, visualization, and analysis
of actual disturbance events are emphasized.
Chapters in this second edition cover WAM and analysis systems, WAM
system architectures, modelling of power system dynamic processes, data
processing and feature extraction, multi-sensor multitemporal data
fusion, WAM of power systems with high penetration of distributed
generation, distributed wide-area oscillation monitoring, near real-time
analysis and monitoring, and interpretation and visualization of
wide-area PMU measurements.
