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Chapter 1 - Uncertainty management in power systems: State of the art and enabling methodologies
Pages 1-8 - Book chapterAbstract only
Chapter 2 - Elements of reliable computing: Theoretical foundations
Pages 9-22 - Book chapterAbstract only
Chapter 3 - Uncertain power flow analysis: Reliable enclosures of the power flow solutions
Pages 23-47 - Book chapterAbstract only
Chapter 4 - Uncertain optimal power flow analysis: Reliable solutions of constrained optimization problems
Pages 49-64 - Book chapterAbstract only
Chapter 5 - Unified AA-based solution of uncertain PF and OPF problems: Enabling computing frameworks
Pages 65-79 - Book chapterAbstract only
Chapter 6 - Uncertain power system reliability analysis: Reliable analysis of Markov Chains-based models
Pages 81-92 - Book chapterAbstract only
Chapter 7 - Uncertain analysis of multi-energy systems: Robust optimization of energy hubs operation
Pages 93-104 - Book chapterAbstract only
Chapter 8 - Enabling methodologies for reducing the computational burden in AA-based computing: PCA-based knowledge discovery paradigms
Pages 105-122 - Book chapterAbstract only
Chapter 9 - Uncertain voltage stability analysis by affine arithmetic: Reliable computing of voltage stability indexes
Pages 123-133 - Book chapterAbstract only
Chapter 10 - Reliable microgrids scheduling in the presence of data uncertainties: Robust optimization and affine arithmetic-based solutions
Pages 135-144 - Book chapterNo access
Index
Pages 145-149
About the book
Description
Affine Arithmetic-Based Methods for Uncertain Power System Analysis presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate and modify. The work is presented with illustrative numerical examples and MATLAB computations.
Affine Arithmetic-Based Methods for Uncertain Power System Analysis presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate and modify. The work is presented with illustrative numerical examples and MATLAB computations.
Key Features
- Provides a uniquely comprehensive review of affine arithmetic in both its core theoretical underpinnings and their developed applications to power system analysis
- Details the exemplary benefits derived by the deployment of affine arithmetic methods for uncertainty handling in decision-making processes
- Clarifies arithmetical complexity and eases the understanding of illustrative methodologies for researchers in both power system and decision-making fields
- Provides a uniquely comprehensive review of affine arithmetic in both its core theoretical underpinnings and their developed applications to power system analysis
- Details the exemplary benefits derived by the deployment of affine arithmetic methods for uncertainty handling in decision-making processes
- Clarifies arithmetical complexity and eases the understanding of illustrative methodologies for researchers in both power system and decision-making fields
Details
ISBN
978-0-323-90502-2
Language
English
Published
2022
Copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Imprint
Elsevier