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商品描述
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.
商品描述(中文翻譯)
了解一種新的電力系統建模方式，透過這本全面且實用的指南
圖形資料庫已成為管理大型資料系統的基本工具之一。其結構相較於傳統的基於表格的關聯資料庫，更能與電力系統的固有物理特性相符，使其能以有機的方式建模電力系統的組件和網絡。作者的開創性研究已證明圖形資料管理和圖形計算在轉變電力系統分析方面的有效性和潛力。
圖形資料庫與電力系統分析的圖形計算 提供了對這項研究及其新興應用的全面且易於理解的介紹。傳統上為關聯資料庫建模的程序和應用在此重新構思，以納入圖形計算。最終結果是一個詳細的指南，展示了這項尖端技術的實用性和靈活性。
本書的讀者還將發現：
- 針對基於圖形的程序設計配置，以解決線性方程、微分方程、優化問題等
- 基於圖形的拓撲分析、狀態估計、潮流分析、安全約束經濟調度、自動發電控制、小信號穩定性、暫態穩定性及其他概念、分析和應用的詳細示範
- 擁有數十年軟體設計和電力系統分析經驗的作者團隊
圖形資料庫與電力系統分析的圖形計算 對於電力系統分析和能源相關領域的研究人員和學者，以及希望了解這一特定技術組合的高級研究生來說，都是必不可少的。
作者簡介
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.
作者簡介(中文翻譯)
戴仁昌博士是美國華盛頓州普吉特海灣能源公司的顧問分析師和專案經理。他是GE能源顧問智慧電網中心的創始成員，也是IEEE資深會員，並在基於圖形的電力系統分析軟體方面有廣泛的工作和出版經驗。
劉光毅博士是美國環視數位公司的首席科學家及智慧電網中心的成員。他是IEEE資深會員，並在多個應用領域中擁有開發基於圖形的電力系統分析軟體的豐富經驗。
