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019    1371294423 
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020    1839535466|q(electronic bk.) 
020    |z9781839535451|q(print) 
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035    (OCoLC)1343986963|z(OCoLC)1371294423 
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100 1  Messina, Arturo R.,|eauthor. 
245 10 Wide area monitoring of interconnected power systems /
       |cArturo Roman Messina. 
250    2nd edition. 
264  1 London, England :|bThe Institution of Engineering and 
       Technology,|c2022 
300    1 online resource (421 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  IET Power and Energy Series ;|v213 
504    Includes bibliographical references at the end of each 
       chapters and index. 
505 0  Preface; 1. Wide-area monitoring and analysis systems; 2. 
       Wide-area monitoring system architectures; 3. Spatio-
       temporal modeling of power system dynamic processes; 4. 
       Advanced data processing and feature extraction; 5. 
       Multisensor multitemporal data fusion; 6. Monitoring the 
       status of the system; 7.Wide-area monitoring of power 
       systems with high penetration of distributed generation 8.
       Distributed wide-area oscillation monitoring; 9. Near real
       -time analysis and monitoring; 10. Interpretation and 
       visualization of wide-area phasor measurement unit 
       measurements; Appendix A. Physical meaning of proper 
       orthogonal modes; Appendix B. Data for the 5-machine10-
       bustest system; Appendix C. Masking techniques to improve 
       empirical mode decomposition. 
520    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. 
588 0  Online resource; title from PDF title page (viewed 
       September 1, 2022). 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Interconnected electric utility systems. 
650  0 Electric power transmission. 
650  7 Technology & Engineering|xMechanical.|2bisacsh 
650  7 Interconnected electric utility systems|2fast 
650  7 Electric power transmission|2fast 
650  7 power system measurement.|2inspect 
650  7 power system simulation.|2inspect 
776 08 |iPrint version:|aMessina, Arturo R.|tWide area monitoring
       of interconnected power systems.|bSecond edition.
       |dStevenage : Institution of Engineering and Technology, 
       2022|z9781839535451|w(OCoLC)1346475382 
830  0 IET power and energy series ;|v213. 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=3376075|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
948    |d20240319|cEBSCO|tEBSCOebooksacademic NEW 1-26-24 6521
       |lridw 
994    92|bRID