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|a 1405395471
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|a 9781119903888
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|z (OCoLC)1405395471
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|a GWRE
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|a Dai, Renchang.
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|a Graph Database and Graph Computing for Power System Analysis
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2023.
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| 300 |
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|a 1 online resource (514 p.).
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|a text
|b txt
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|a computer
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|a online resource
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|a IEEE Press Series on Power and Energy Systems Series
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|a Description based upon print version of record.
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|a Cover -- Title Page -- Copyright Page -- Contents -- About the Authors -- Preface -- Acknowledgments -- Part I Theory and Approaches -- Chapter 1 Introduction -- 1.1 Power System Analysis -- 1.1.1 Power Flow Calculation -- 1.1.2 State Estimation -- 1.1.3 Contingency Analysis -- 1.1.4 Security-Constrained Automatic Generation Control -- 1.1.5 Security-Constrained ED -- 1.1.6 Electromechanical Transient Simulation -- 1.1.7 Photovoltaic Power Generation Forecast -- 1.2 Mathematical Model -- 1.2.1 Direct Methods of Solving Large-Scale Linear Equations
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|a 1.2.2 Iterative Methods of Solving Large-Scale Linear Equations -- 1.2.3 High-Dimensional Differential Equations -- 1.2.4 Mixed Integer-Programming Problems -- 1.3 Graph Computing -- 1.3.1 Graph Modeling Basics -- 1.3.2 Graph Parallel Computing -- References -- Chapter 2 Graph Database -- 2.1 Database Management Systems History -- 2.2 Graph Database Theory and Method -- 2.2.1 Graph Database Principle and Concept -- 2.2.1.1 Defining a Graph Schema -- 2.2.1.2 Creating a Loading Job -- 2.2.1.3 Graph Query Language -- 2.2.2 System Architecture -- 2.2.3 Graph Computing Platform
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|a 2.3 Graph Database Operations and Performance -- 2.3.1 Graph Database Management System -- 2.3.1.1 Parallel Processing by Map Reduce -- 2.3.1.2 Graph Partition -- 2.3.2 Graph Database Performance -- References -- Chapter 3 Graph Parallel Computing -- 3.1 Graph Parallel Computing Mechanism -- 3.2 Graph Nodal Parallel Computing -- 3.3 Graph Hierarchical Parallel Computing -- 3.3.1 Symbolic Factorization -- 3.3.2 Elimination Tree -- 3.3.3 Node Partition -- 3.3.4 Numerical Factorization -- 3.3.5 Forward and Backward Substitution -- References -- Chapter 4 Large-Scale. Algebraic Equations
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|a 4.1 Iterative Methods of Solving Nonlinear Equations -- 4.1.1 Gauss-Seidel Method -- 4.1.2 PageRank Algorithm -- 4.1.2.1 PageRank Algorithm Mechanism -- 4.1.2.2 Iterative Method -- 4.1.2.3 Algebraic Method -- 4.1.2.4 Convergence Analysis -- 4.1.3 Newton-Raphson Method -- 4.2 Direct Methods of Solving Linear Equations -- 4.2.1 Introduction -- 4.2.2 Basic Concepts -- 4.2.2.1 Data Structures of Sparse Matrix -- 4.2.2.2 Matrices and Graphs -- 4.2.3 Historical Development -- 4.2.4 Direct Methods -- 4.2.4.1 Solving Triangular Systems -- 4.2.4.2 Symbolic Factorization -- 4.2.4.3 Fill-Reducing Ordering
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|a 4.3 Indirect Methods of Solving Linear Equations -- 4.3.1 Stationary Methods -- 4.3.1.1 Jacobi Method -- 4.3.1.2 Gauss-Seidel Method -- 4.3.1.3 SOR Method -- 4.3.1.4 SSOR Method -- 4.3.2 Nonstationary Methods -- 4.3.2.1 CG Method -- 4.3.2.2 GMRES -- 4.3.2.3 BCG (bi-CG) -- References -- Chapter 5 High-Dimensional Differential Equations -- 5.1 Integration Methods -- 5.1.1 An Overview of Integration Methods and their Accuracy -- 5.1.1.1 One-Step Methods -- 5.1.1.2 Linear Multistep Methods -- 5.1.2 Integration Methods for Power System Transient Simulations -- 5.1.3 Transient Analysis Accuracy
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|a 5.1.4 Transient Analysis Stability
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| 700 |
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|a Liu, Guangyi.
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| 776 |
0 |
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|i Print version:
|a Dai, Renchang
|t Graph Database and Graph Computing for Power System Analysis
|d Newark : John Wiley & Sons, Incorporated,c2023
|z 9781119903864
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| 830 |
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0 |
|a IEEE Press Series on Power and Energy Systems Series.
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| 856 |
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|u https://ebookcentral.proquest.com/lib/ucb/detail.action?docID=30764570
|z Full Text (via ProQuest)
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|a University of Colorado Boulder
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|i web
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