Modern Control of DC-Based Power Systems: A Problem-Based Approach addresses the future challenges of DC Grids in a problem-based context for practicing power engineers who are challenged with integrating DC grids in their existing architecture. This reference uses control theory to address the main concerns affecting these systems, things like generation capacity, limited maximum load demands and low installed inertia which are all set to increase as we move towards a full renewable model. Offering a new approach for a problem-based, practical approach, the book provides a coordinated view of the topic with MATLAB®, Simulink® files and additional ancillary material provided.
Modern Control of DC-Based Power Systems: A Problem-Based Approach addresses the future challenges of DC Grids in a problem-based context for practicing power engineers who are challenged with integrating DC grids in their existing architecture. This reference uses control theory to address the main concerns affecting these systems, things like generation capacity, limited maximum load demands and low installed inertia which are all set to increase as we move towards a full renewable model. Offering a new approach for a problem-based, practical approach, the book provides a coordinated view of the topic with MATLAB®, Simulink® files and additional ancillary material provided.
1. Introduction to Modern Control on MVDC Problem Oriented
Study
2. Control for Stand-alone converter
3. Small Signal Analysis of Cascaded Systems
4. System identification technique
5. Parallel Source Converter Systems
6. Approaches for Parallel Source Converter Systems
7. Simple linear State Space Observability
8. Simple LQR
9. Kalman Filter
10. Luenberger Observer
11. LSF – Exact Input Output Linearization
12. Centralized Synergetic
13. Concept of Virtual Disturbance for Decoupling (Kalman
Filter)
14. 2Degree of Freedom – LQG+Virt
15. Backstepping
16. Synergetic
17. Sliding Mode
18. Concept Power Estimation for Decoupling Adaptive
Backstepping
19. Hardware In the Loop Implementation and Challenges
20. Challenges – about Discretization
Marco Cupelli is the Division Head of Power Systems Control and
Automation at E.ON Energy Research Center (EON ERC), RWTH Aachen
University. He is passionate in leading and conduction research
activities in the areas of power system control and automation,
developing innovative control strategies for medium and low voltage
distribution networks and integrating smart metering devices to
enable cloud automation solutions. He is managing and mentoring a
cross-functional team of more than 20 researchers. He is an IEEE
Senior Member where he is involved in two P2030 working.
Furthermore, he is an active member of the European Union H2020
Bridge Initiative.
He received his Doctoral degree in Electrical Engineering from RWTH
Aachen University and his Diploma degree in electrical engineering
and business administration from Technische Universität Darmstadt.
Antonino Riccobono earned his PhD degree in Electrical Engineering
from University of South Carolina (USA) in 2013 and BSc and MSc
from University of Palermo (Italy) in 2006 and 2009,
respectively.
In September 2013, he joined RWTH Aachen University (Germany) where
he worked as Postdoctoral Research Associate at the Institute for
Automation of Complex Power Systems (ACS) – E.ON Energy Research
Center. Within ACS, he also covered the charge of Leader of the
Team called “Real Time Simulation and Hardware in the Loop. He
managed R&D projects in the area of modeling, control,
stability, and automation of Power Electronics Power Systems using
MATLAB/Simulink and real-time digital simulators.
Since July 2017, he has been with MathWorks as Senior Training
Engineer, Turin, Italy. Markus Mirz received the M.Sc. degree in
electrical power engineering from RWTH Aachen University, Aachen,
Germany, in 2014. Since 2015 he is research associate and Ph.D.
student at the Institute for Automation of Complex Power Systems,
E.ON Energy Research Center, RWTH Aachen University. His current
research interests are modeling and simulation of power systems as
well as co-simulation. Mohsen Ferdowsi was born in Esfahan, Iran in
1984. He received his B.Sc. and M.Sc. degrees in electrical
engineering from University of Tehran, Iran in 2007 and 2009,
respectively. From 2009 to 2011, he was a research associate at
Technical University of Berlin, Germany. From 2012 to 2016, he
worked as a research associate at RWTH Aachen University, Germany
where he received his Ph.D. degree (summa cum laude) in electrical
power engineering. In January 2017, he joined Siemens AG, where
works on advanced applications for power system control centers.
Antonello Monti is currently the Director of the Institute for
Automation of Complex Power Systems at the E.ON Energy Research
Center at RWTH Aachen University and Scientist at Fraunhofer FIT as
part of the Center for Digital Energy in Aachen. He has previously
held positions at Politecnico di Milano, Italy, and at the
University of South Carolina, USA. Antonello has been and is
Associate Editor of several international journals edited by IEEE,
Elsevier, and Springer. He has been the recipient of the 2017 IEEE
Innovation in Societal Infrastructure Award.
![]() |
Ask a Question About this Product More... |
![]() |