Graph Database and Graph Computing for Power Syste m Analysis

ISBN-13: 9781119903864 / Twarda / 2023

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Spis treści

PrefaceAcknowledgementsSection I:Chapter 1: IntroductionChapter 2: Graph DatabaseChapter 3: Graph Parallel ComputingChapter 4: Large-Scale Algebraic EquationsChapter 5: High Dimensional Differential EquationsChapter 6: Optimization ProblemsChapter 7: Graph-based Machine LearningSection II:Chapter 8: Power Systems ModelingChapter 9: State Estimation Graph ComputingChapter 10: Power Flow Graph ComputingChapter 11: Contingency Analysis Graph ComputingChapter 12: Economic Dispatch and Unit CommitmentChapter 13: Automatic Generation ControlChapter 14: Small-signal StabilityChapter 15: Transient StabilityChapter 16: Graph-based Deep Reinforcement Learning on Overload ControlChapter 17: ConclusionsAppendixIndex

O autorze

Renchang Dai, PhD, is a Consulting Analyst and Project Manager for Puget Sound Energy, Washington, USA. He is a founding member of GE Energy Consluting Smart Grid CoE and an IEEE Senior Member, and has worked and published extensively on graph based power system analysis software.Guangyi Liu, PhD, is Chief Scientist and Smart Grid CoE at Envision Digital, USA. He is an IEEE Senior member and has extensive experience developing software for graph-based power system analysis across numerous applications.