Advanced smart grid functionalities based on PowerFactory /

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Bibliographic Details
Imprint:	Cham : Springer, [2018] ©2018
Description:	1 online resource
Language:	English
Series:	Green energy and technology Green energy and technology.
Subject:	Smart power grids. Electric power distribution. Electric power systems. Electric power systems -- Computer simulation. TECHNOLOGY & ENGINEERING -- Mechanical. Power networks, systems, stations & plants. Power generation & distribution. Energy conversion & storage. Circuits & components. Energy technology & engineering. Electric power distribution. Electric power systems. Electric power systems -- Computer simulation. Smart power grids. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11542942

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Other authors / contributors:	Gonzalez-Longatt, Francisco, 1972- editor. Rueda Torres, José Luis, editor.
ISBN:	9783319505329 3319505327 9783319505312
Notes:	Includes bibliographical references. Online resource; title from PDF title page (EBSCO, viewed January 10, 2018).
Summary:	This book consolidates some of the most promising advanced smart grid functionalities and provides a comprehensive set of guidelines for their implementation/evaluation using DIgSILENT Power Factory. It includes specific aspects of modeling, simulation and analysis, for example wide-area monitoring, visualization and control, dynamic capability rating, real-time load measurement and management, interfaces and co-simulation for modeling and simulation of hybrid systems. It also presents key advanced features of modeling and automation of calculations using PowerFactory, such as the use of domain-specific (DSL) and DIgSILENT Programming (DPL) languages, and utilizes a variety of methodologies including theoretical explanations, practical examples and guidelines. Providing a concise compilation of significant outcomes by experienced users and developers of this program, it is a valuable resource for postgraduate students and engineers working in power-system operation and planning.

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