Author Description

<b>Graph Database and Graph Computing for Power System Analysis</b> <p><b>Understand a new way to model power systems with this comprehensive and practical guide</b> <p>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. <p><i>Graph Database and Graph Computing for Power System Analysis</i> 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. <p>The book’s readers will also find: <ul><li>Design configurations for a graph-based program to solve linear equations, differential equations, optimization problems, and more</li> <li>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</li> <li>An authorial team with decades of experience in software design and power systems analysis</li></ul> <p><i>Graph Database and Graph Computing for Power System Analysis</i> 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.