https://shop.theiet.org:443/author/arturo-roman-messinaArturo Román Messinahttps://shop.theiet.org:443/wide-area-monitoring-of-interconnected-power-systems-2nd-edition<p xmlns="http://ns.editeur.org/onix/3.0/reference">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.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">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.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">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.</p>Fri, 06 May 2022 08:21:39 GMThttps://shop.theiet.org:443/wide-area-monitoring-of-interconnected-power-systems-2nd-editionhttps://shop.theiet.org:443/wide-area-monit-intercon-power<p xmlns="http://ns.editeur.org/onix/3.0/reference">This book provides a compact yet comprehensive treatment of advanced data-driven signal processing techniques for the analysis and characterization of both ambient power system data and transient oscillations resulting from major disturbances. Inspired by recent developments in multi-sensor data fusion, multi-temporal data assimilation techniques for power system monitoring are proposed and tested in the context of modern wide-area monitoring system architectures. Recent advances in understanding and modeling nonlinear, time-varying power system processes are reviewed and factors affecting the performance these techniques are discussed.</p><p xmlns="http://ns.editeur.org/onix/3.0/reference">A number of algorithms and examples are presented throughout the text as an aid to understanding the basic material provided. Challenges involved in realistic monitoring, visualization and analysis of actual disturbance events are emphasized and examples of applications to a wide range of power networks are provided. Topics covered include: wide-area monitoring and analysis systems; wide-area monitoring system architectures; spatio-temporal modeling of power system dynamic processes; advanced data processing and feature extraction; multi-sensor multitemporal data fusion; monitoring the status of the system; near real-time analysis and monitoring; and interpretation and visualization of wide-area PMU measurements.</p><p xmlns="http://ns.editeur.org/onix/3.0/reference">This book will be of interest to students, researchers and engineers involved in the study, design, analysis and control of power systems.</p>Tue, 12 Jun 2018 00:05:31 GMThttps://shop.theiet.org:443/wide-area-monit-intercon-power