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Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
Arturo Román Messina is a researcher at the Centre for Research and Advanced Studies of the National Polytechnic Institute of Mexico. He serves on the boards of Electric Power Systems Research and Electric Power Components and Systems. An IEEE Fellow for contributions to power system analysis, he was the secretary and chair of the Power System Stability and Control group of the Power Systems Dynamics and Control (PSDC) subcommittee and has (co-)authored several books.
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Wide Area Monitoring of Interconnected Power Systems (Energy Engineering)
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The Institution of Engineering and Technology, 2022
ISBN 10: 1839535458
ISBN 13: 9781839535451
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Wide Area Monitoring of Interconnected Power Systems
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Wide Area Monitoring of Interconnected Power Systems
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Hardback. Zustand: New. 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. Bestandsnummer des Verkäufers LU-9781839535451
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Wide Area Monitoring of Interconnected Power Systems
Verlag:
Institution of Engineering and Technology, GB, 2022
ISBN 10: 1839535458
ISBN 13: 9781839535451
Neu
Hardcover
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Hardback. Zustand: New. 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. Bestandsnummer des Verkäufers LU-9781839535451
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Wide Area Monitoring of Interconnected Power Systems (Energy Engineering)
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The Institution of Engineering and Technology, 2022
ISBN 10: 1839535458
ISBN 13: 9781839535451
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Wide Area Monitoring of Interconnected Power Systems
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ISBN 13: 9781839535451
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Hardcover. Zustand: Brand New. 2nd edition. 450 pages. 9.21x6.14x1.00 inches. In Stock. Bestandsnummer des Verkäufers x-1839535458
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Buch. Zustand: Neu. Neuware - This expanded and updated second edition covers advanced data-driven signal processing techniques for the analysis of power system data and transient oscillations in power grids. New content includes new architectures for smart grids and microgrids, multitemporal data fusion, deep learning, multichannel phasor measurement. Bestandsnummer des Verkäufers 9781839535451
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