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Risk Assessment of Power Systems – Models, Methods and Applications, Second Edition: IEEE Press Series on Power and Energy Systems

Autor W Li
en Limba Engleză Hardback – 14 apr 2014

Extended models, methods, and applications in power system risk assessment

Risk Assessment of Power Systems: Models, Methods, and Applications, Second Edition fills the gap between risk theory and real-world application. Author Wenyuan Li is a leading authority on power system risk and has more than twenty-five years of experience in risk evaluation. This book offers real-world examples to help readers learn to evaluate power system risk during planning, design, operations, and maintenance activities.

Some of the new additions in the Second Edition include:

  • New research and applied achievements in power system risk assessment
  • A discussion of correlation models in risk evaluation
  • How to apply risk assessment to renewable energy sources and smart grids
  • Asset management based on condition monitoring and risk evaluation
  • Voltage instability risk assessment and its application to system planning

The book includes theoretical methods and actual industrial applications. It offers an extensive discussion of component and system models, applied methods, and practical examples, allowing readers to effectively use the basic concepts to conduct risk assessments for power systems in the real world. With every original chapter updated, two new sections added, and five entirely new chapters included to cover new trends, Risk Assessment of Power Systems is an essential reference.

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Specificații

ISBN-13: 9781118686706
ISBN-10: 1118686705
Pagini: 560
Dimensiuni: 156 x 234 x 31 mm
Greutate: 0.86 kg
Ediția:2nd Edition
Editura: Wiley
Seria IEEE Press Series on Power and Energy Systems

Locul publicării:Hoboken, United States

Public țintă

Engineers working in the power generation and power transmission industries

Notă biografică


Descriere

Risk Assessment of Power Systems addresses the regulations and functions of risk assessment with regard to its relevance in system planning, maintenance, and asset management.