Author Description

<p>Graph Database and Graph Computing for Power System Analysis<br></p><p>Understand a new way to model power systems with this comprehensive and practical guide<br></p><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.<br></p><p>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.<br></p><p>The book's readers will also find:<br></p><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>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.<br></p>