Modeling and Simulation of Complex Power Systems
Published on 14. October 2022
Book
Hardback
322 pages
978-1-78561-404-0 (ISBN)
Description
Modern power systems are highly complex due to increasing shares of intermittent renewable energy and distributed generation. Research requires computer simulation and modeling, and knowledge of methods and algorithms.
This book presents key concepts of modeling and simulation of power systems. The book introduces the two main families of techniques for computer-based simulation of dynamic systems, and methods that allow parallel simulation execution. The coverage includes digital simulation, topological methods, state space methods, parallelization methods, simulation under uncertainty, phasor simulation, switching systems simulation as well as real-time simulation and hardware in the loop testing. Examples, exercises and a set of simulation solvers implemented in Matlab (R) and Python are also provided.
Modeling and Simulation of Complex Power Systems is an invaluable tool for researchers in industry and academia, and advanced students.
This book presents key concepts of modeling and simulation of power systems. The book introduces the two main families of techniques for computer-based simulation of dynamic systems, and methods that allow parallel simulation execution. The coverage includes digital simulation, topological methods, state space methods, parallelization methods, simulation under uncertainty, phasor simulation, switching systems simulation as well as real-time simulation and hardware in the loop testing. Examples, exercises and a set of simulation solvers implemented in Matlab (R) and Python are also provided.
Modeling and Simulation of Complex Power Systems is an invaluable tool for researchers in industry and academia, and advanced students.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 237 mm
Width: 158 mm
Thickness: 22 mm
Weight
734 gr
ISBN-13
978-1-78561-404-0 (9781785614040)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Antonello Monti is the professor-director at the Institute for Automation of Complex Power Systems, RWTH Aachen University, Germany. Prior to this, he worked at the University of South Carolina (USA), where he was associate director of the Virtual Test Bed (VTB) project on computational simulation and visualisation of modern power distribution. Since 2019 he has also a joined appointment at Fraunhofer FIT as part of the Center for Digital Energy Aachen.
Andrea Benigni is a full professor at RWTH-Aachen and director of the Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10) at the Juelich research center, Germany. He received the B.Sc. and M.Sc. degrees from Politecnico di Milano, Milano and the Ph.D. degree from RWTH-Aachen University, Aachen, Germany. From 2014 to 2019, he was an Assistant Professor with the Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA.
Andrea Benigni is a full professor at RWTH-Aachen and director of the Institute of Energy and Climate Research: Energy Systems Engineering (IEK-10) at the Juelich research center, Germany. He received the B.Sc. and M.Sc. degrees from Politecnico di Milano, Milano and the Ph.D. degree from RWTH-Aachen University, Aachen, Germany. From 2014 to 2019, he was an Assistant Professor with the Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA.
Content
Chapter 1: Introduction
Chapter 2: Digital simulation
Chapter 3: Nodal methods
Chapter 4: State-space methods
Chapter 5: Parallelization methods
Chapter 6: Simulation under uncertainty
Chapter 7: Simulation language specification - Modelica
Chapter 8: Dynamic phasors
Chapter 9: Modeling of converters as switching circuits
Chapter 10: Real-time and hardware-in-the-loop simulation
Chapter 11: Octsim/a solver for dynamic system simulation
Chapter 2: Digital simulation
Chapter 3: Nodal methods
Chapter 4: State-space methods
Chapter 5: Parallelization methods
Chapter 6: Simulation under uncertainty
Chapter 7: Simulation language specification - Modelica
Chapter 8: Dynamic phasors
Chapter 9: Modeling of converters as switching circuits
Chapter 10: Real-time and hardware-in-the-loop simulation
Chapter 11: Octsim/a solver for dynamic system simulation