"This book is a summary of cutting-edge research in graph data management and graph parallel computing on power system analysis. The authors offer extensive industry experience in designing and implementing graph computing based power system applications. The traditional relational database is replaced by graph database to model power system and implement applications at the first time. Using the graph database, the program to solve large-scale algebraic equations, high dimensional differential equations, and optimization ...
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"This book is a summary of cutting-edge research in graph data management and graph parallel computing on power system analysis. The authors offer extensive industry experience in designing and implementing graph computing based power system applications. The traditional relational database is replaced by graph database to model power system and implement applications at the first time. Using the graph database, the program to solve large-scale algebraic equations, high dimensional differential equations, and optimization problems is reconfigured and redesigned to accommodate graph parallel computing in this book. Graph-based nodal and hierarchical parallelism are explored to achieve high computation efficiency. The implementations of graph computing based topology analysis, state estimation, power flow, contingency analysis, security constrained automatic generation control, security constrained unit commitment, and transient simulation are demonstrated in detail."--
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