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Image of Advanced Power Applications for System Reliability Monitoring

Electronic Resource

Advanced Power Applications for System Reliability Monitoring

Zhang, Hongming - Personal Name; Edwards, Sherrill - Personal Name; Kincic, Slaven - Personal Name;

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This book examines real-time models and advanced online applications that enhance reliability and resilience of the grid in real-time and near real-time environments. It is written by Peak Reliability engineers who worked on the creation of the West Wide System Model (WSM) and the implementation of advanced real-time operation situational awareness tools for reliability coordination function. The book looks at how a single Reliability Coordinator for the Western Interconnection did its work under normal and emergency conditions, providing a unique perspective on best practices and lessons learned from Peak’s modeling and coordination efforts to create, maintain, and improve state-of-art new technology and algorithms to improve real-time operation situational awareness and Bulk Electric System (BES) grid resilience. Coverage includes practical experience of implementing real-time Energy Management System (EMS) Network Application, real-time voltage stability analysis, online transient stability analysis, synchrophasor technology, Dispatcher Training Simulator and EMS Cybersecurity & Inter-Control Center Communications Protocol (ICCP) implementation experience in a Reliability Coordinator Control Room setting.


Availability
Inventory Code Barcode Call Number Location Status
2108000017EB0005268662.6 Zha aCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
662.6 Zha a
Publisher
Switzerland : Springer Cham., 2021
Collation
xxv, 482p.:ill
Language
English
ISBN/ISSN
978-3-030-44544-7
Classification
662.6
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Renewable and Green Energy
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Advanced Power Applications for System Reliability Monitoring
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