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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…mehr

Produktbeschreibung
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 andplanning.

Autorenporträt
Francisco M. Gonzalez-Longatt is a Lecturer in Electrical Power System at Electrical Power System en School of Electronic, Electrical and Systems Engineering en Loughborough University, United Kingdom. His academic qualifications include first Class Electrical Engineering of Instituto Universitario Politécnico de la Fuerza Armada Nacional, Venezuela (1994), Master of Business Administration (Honors) of Universidad Bicentenaria de Aragua, Venezuela (1999), Postgraduate Certificate in Higher Education Professional Practice of Coventry University, UK (2013) and PhD in Electrical Power Engineering from the Universidad Central de Venezuela (2008). He is former associate professor (1995-2009) and Head (1999-2001) of the Department of Electrical Engineering of Universidad Nacional Politécnico de la Fuerza Armada Nacional, Venezuela (1995-2009). He is a former academic staff of Department of Aerospace, Electrical and Electronic Engineering at University of Coventry, UK, where he started as Lecturer in Electrical Engineering in 2012 and promoted to Senior Lecturer in Electrical Engineering in 2013. He was formerly with the School of Electrical and Electronic Engineering, The University of Manchester, UK, as Postdoctoral Research Associate (2009-2011).

He is Vice-President of Venezuelan Wind Energy Association, Senior Member of the IEEE, member of The Institution of Engineering and Technology - The IET (UK) and member of International Council on LargeElectric Systems -CIGRE. His research interest includes innovative (operation/control) schemes to optimize the performance of future energy systems.

José Luis Rueda Torres received the Electrical Engineer diploma from Escuela Politécnica Nacional, Quito, Ecuador, with cum laude honors (August 2004). From September 2003 to February 2005, he worked in Ecuador, in the fields of industrial control systems and electrical distribution networks operation and planning. In November 2009, he received the Ph.D. degree from the National University of San Juan, obtaining the highest mark Sobresaliente (Outstanding). He has been with the Institute of Electrical Engineering at University Duisburg-Essen as postdoctoral research associate since August 2009. Rueda currently works as Assistant Professor of Intelligent Electrical Power Grids at the Department of Electrical Sustainable Energy at Delft University of Technology. His current research interests include smart grids, power system modeling, power system planning, power system stability and control, system identification, probabilistic and artificial intelligent methods, and renewable energy technologies.