Graph Database and Graph Computing for Power System Analysis

Renchang Dai , Guangyi Liu 지음

Wiley-IEEE Press 2023년 09월 28일 출간

작품소개

책소개

Graph Database and Graph Computing for Power System Analysis Understand a new way to model power systems with this comprehensive and practical guide Graph databases have become one of the essential tools for managing large data systems. Their structure improves over traditional table-based relational databases in that it reconciles more closely to the inherent physics of a power system, enabling it to model the components and the network of a power system in an organic way. The authors’ pioneering research has demonstrated the effectiveness and the potential of graph data management and graph computing to transform power system analysis. Graph Database and Graph Computing for Power System Analysis presents a comprehensive and accessible introduction to this research and its emerging applications. Programs and applications conventionally modeled for traditional relational databases are reconceived here to incorporate graph computing. The result is a detailed guide which demonstrates the utility and flexibility of this cutting-edge technology. The book’s readers will also find: Design configurations for a graph-based program to solve linear equations, differential equations, optimization problems, and more Detailed demonstrations of graph-based topology analysis, state estimation, power flow analysis, security-constrained economic dispatch, automatic generation control, small-signal stability, transient stability, and other concepts, analysis, and applications An authorial team with decades of experience in software design and power systems analysis Graph Database and Graph Computing for Power System Analysis is essential for researchers and academics in power systems analysis and energy-related fields, as well as for advanced graduate students looking to understand this particular set of technologies.

목차

About the Authors xiii Preface xv Acknowledgments xvii Part I Theory and Approaches 1 1 Introduction 3 1.1 Power System Analysis 6 1.1.1 Power Flow Calculation 6 1.1.2 State Estimation 6 1.1.3 Contingency Analysis 7 1.1.4 Security-Constrained Automatic Generation Control 7 1.1.5 Security-Constrained ED 8 1.1.6 Electromechanical Transient Simulation 9 1.1.7 Photovoltaic Power Generation Forecast 10 1.2 Mathematical Model 10 1.2.1 Direct Methods of Solving Large-Scale Linear Equations 10 1.2.2 Iterative Methods of Solving Large-Scale Linear Equations 11 1.2.3 High-Dimensional Differential Equations 11 1.2.4 Mixed Integer-Programming Problems 11 1.3 Graph Computing 12 1.3.1 Graph Modeling Basics 13 1.3.2 Graph Parallel Computing 14 References 14 2 Graph Database 17 2.1 Database Management Systems History 17 2.2 Graph Database Theory and Method 18 2.2.1 Graph Database Principle and Concept 18 2.2.1.1 Defining a Graph Schema 19 2.2.1.2 Creating a Loading Job 20 2.2.1.3 Graph Query Language 21 2.2.2 System Architecture 25 2.2.3 Graph Computing Platform 25 2.3 Graph Database Operations and Performance 26 2.3.1 Graph Database Management System 26 2.3.1.1 Parallel Processing by MapReduce 27 2.3.1.2 Graph Partition 29 2.3.2 Graph Database Performance 35 References 38 3 Graph Parallel Computing 41 3.1 Graph Parallel Computing Mechanism 41 3.2 Graph Nodal Parallel Computing 44 3.3 Graph Hierarchical Parallel Computing 46 3.3.1 Symbolic Factorization 47 3.3.2 Elimination Tree 51 3.3.3 Node Partition 56 3.3.4 Numerical Factorization 57 3.3.5 Forward and Backward Substitution 58 References 59 4 Large-Scale Algebraic Equation

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저자(글) Renchang Dai

저자(글) Guangyi Liu