Modeling and Simulation of Complex Power Systems
Produktdetaljer
Biografisk notat
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.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® 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.
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.
- 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