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Power system control under cascading failures : understanding, mitigation, and system restoration / Kai Sun, Yunhe Hou, Wei Sun, Junjian Qi.

By: Sun, Kai, 1976- [author.].
Contributor(s): Hou, Yunhe, 1975- [author.] | Sun, Wei, 1982- [author.] | Qi, Junjian, 1985- [author.].
Material type: materialTypeLabelBookPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2019Copyright date: ©2019Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119282051; 1119282055; 9781119282068; 1119282063; 9781119282075; 1119282071.Subject(s): Electric power systems -- Control | Electric power system stability | Electric power failures | Electric power failures | Electric power system stability | Electric power systems -- Control | TECHNOLOGY & ENGINEERING / MechanicalGenre/Form: Electronic books.Additional physical formats: Print version:: Power system control under cascading failuresDDC classification: 621.31/7 Online resources: Wiley Online Library
Contents:
Intro; Title Page; Copyright Page; Contents; About the Companion Website; Chapter 1 Introduction; 1.1 Importance of Modeling and Understanding Cascading Failures; 1.1.1 Cascading Failures; 1.1.2 Challenges in Modeling and Understanding Cascading Failures; 1.2 Importance of Controlled System Separation; 1.2.1 Mitigation of Cascading Failures; 1.2.2 Uncontrolled and Controlled System Separations; 1.3 Constructing Restoration Strategies; 1.3.1 Importance of System Restoration; 1.3.2 Classification of System Restoration Strategies; 1.3.3 Challenges of System Restoration; 1.4 Overview of the Book
2.2.7 Cascading Failure Models Considering Dynamics and Detailed ProtectionsReferences; Chapter 3 Understanding Cascading Failures; 3.1 Self-Organized Criticality; 3.1.1 SOC Theory; 3.1.2 Evidence of SOC in Blackout Data; 3.2 Branching Processes; 3.2.1 Definition of the Galton-Watson Branching Process; 3.2.2 Estimation of Mean of the Offspring Distribution; 3.2.3 Estimation of Variance of the Offspring Distribution; 3.2.4 Processing and Discretization of Continuous Data; 3.2.5 Estimation of Distribution of Total Outages; 3.2.6 Statistical Insight of Branching Process Parameters
3.2.7 Branching Processes Applied to Line Outage Data3.2.8 Branching Processes Applied to Load Shed Data; 3.2.9 Cross-Validation for Branching Processes; 3.2.10 Efficiency Improvement by Branching Processes; 3.3 Multitype Branching Processes; 3.3.1 Estimation of Multitype Branching Process Parameters; 3.3.2 Estimation of Joint Probability Distribution of Total Outages; 3.3.3 An Example for a Two-Type Branching Process; 3.3.4 Validation of Estimated Joint Distribution; 3.3.5 Number of Cascades Needed for Multitype Branching Processes; 3.3.6 Estimated Parameters of Branching Processes
3.3.7 Estimated Joint Distribution of Total Outages3.3.8 Cross-Validation for Multitype Branching Processes; 3.3.9 Predicting Joint Distribution from One Type of Outage; 3.3.10 Estimating Failure Propagation of Three Types of Outages; 3.4 Failure Interaction Analysis; 3.4.1 Estimation of Interactions between Component Failures; 3.4.2 Identification of Key Links and Key Components; 3.4.3 Interaction Model; 3.4.4 Validation of Interaction Model; 3.4.5 Number of Cascades Needed for Failure Interaction Analysis; 3.4.6 Estimated Interaction Matrix and Interaction Network
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Includes index.

Intro; Title Page; Copyright Page; Contents; About the Companion Website; Chapter 1 Introduction; 1.1 Importance of Modeling and Understanding Cascading Failures; 1.1.1 Cascading Failures; 1.1.2 Challenges in Modeling and Understanding Cascading Failures; 1.2 Importance of Controlled System Separation; 1.2.1 Mitigation of Cascading Failures; 1.2.2 Uncontrolled and Controlled System Separations; 1.3 Constructing Restoration Strategies; 1.3.1 Importance of System Restoration; 1.3.2 Classification of System Restoration Strategies; 1.3.3 Challenges of System Restoration; 1.4 Overview of the Book

2.2.7 Cascading Failure Models Considering Dynamics and Detailed ProtectionsReferences; Chapter 3 Understanding Cascading Failures; 3.1 Self-Organized Criticality; 3.1.1 SOC Theory; 3.1.2 Evidence of SOC in Blackout Data; 3.2 Branching Processes; 3.2.1 Definition of the Galton-Watson Branching Process; 3.2.2 Estimation of Mean of the Offspring Distribution; 3.2.3 Estimation of Variance of the Offspring Distribution; 3.2.4 Processing and Discretization of Continuous Data; 3.2.5 Estimation of Distribution of Total Outages; 3.2.6 Statistical Insight of Branching Process Parameters

3.2.7 Branching Processes Applied to Line Outage Data3.2.8 Branching Processes Applied to Load Shed Data; 3.2.9 Cross-Validation for Branching Processes; 3.2.10 Efficiency Improvement by Branching Processes; 3.3 Multitype Branching Processes; 3.3.1 Estimation of Multitype Branching Process Parameters; 3.3.2 Estimation of Joint Probability Distribution of Total Outages; 3.3.3 An Example for a Two-Type Branching Process; 3.3.4 Validation of Estimated Joint Distribution; 3.3.5 Number of Cascades Needed for Multitype Branching Processes; 3.3.6 Estimated Parameters of Branching Processes

3.3.7 Estimated Joint Distribution of Total Outages3.3.8 Cross-Validation for Multitype Branching Processes; 3.3.9 Predicting Joint Distribution from One Type of Outage; 3.3.10 Estimating Failure Propagation of Three Types of Outages; 3.4 Failure Interaction Analysis; 3.4.1 Estimation of Interactions between Component Failures; 3.4.2 Identification of Key Links and Key Components; 3.4.3 Interaction Model; 3.4.4 Validation of Interaction Model; 3.4.5 Number of Cascades Needed for Failure Interaction Analysis; 3.4.6 Estimated Interaction Matrix and Interaction Network

Description based on online resource; title from digital title page (viewed on February 15, 2019).

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