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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)
這本全面且實用的指南將帶領您了解一種新的電力系統建模方式。
圖形資料庫已成為管理大型資料系統的重要工具之一。相較於傳統基於表格的關聯式資料庫，圖形資料庫的結構更貼近電力系統的固有物理特性，使其能夠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了圖形資料管理和圖形計算在改變電力系統分析方面的有效性和潛力。
《圖形資料庫和圖形計算用於電力系統分析》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。本書重新構思了傳統關聯式資料庫中常見的程式和應用，將圖形計算納入其中。結果是一本詳細的指南，展示了這項尖端技術的實用性和靈活性。
本書的讀者還將獲得以下內容：
- 設計基於圖形的程式來解決線性方程、微分方程、優化問題等
- 詳細演示基於圖形的拓撲分析、狀態估計、電力流分析、安全限制經濟調度、自動發電控制、小信號穩定性、暫態穩定性等概念、分析和應用
- 作者團隊擁有數十年的軟體設計和電力系統分析經驗
《圖形資料庫和圖形計算用於電力系統分析》對於電力系統分析和能源相關領域的研究人員和學者至關重要，同時也適用於希望了解這一特定技術集的高級研究生。
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)
Renchang Dai博士是美國華盛頓州普吉特聲能公司的諮詢分析師和項目經理。他是GE能源諮詢智能電網中心的創始成員，也是IEEE高級會員，並在基於圖形的電力系統分析軟件方面進行了大量的工作和發表。
Guangyi Liu博士是美國Envision Digital公司的首席科學家和智能電網中心。他是IEEE高級會員，並在多個應用領域中開發了基於圖形的電力系統分析軟件的豐富經驗。
