Marco Cupelli,
Marco (Division Head of Power Systems Control and Automation at E.ON Energy Research Center (EON ERC), RWTH Aachen University) Cupelli,
Antonino Riccobono,
Antonino (Senior Training Engineer at MathWorks, Turin, Italy.) Riccobono,
Markus Mirz,
Markus (Ph.D. student at the Institute for Automation of Complex Power Systems, E.ON Energy Research Center) Mirz,
Mohsen Ferdowsi,
Mohsen (Siemens AG) Ferdowsi,
Antonello Monti,
Antonello (Director, Institute for Automation of Complex Power System, RWTH Aachen University, Aachen, Germany) Monti
e.a.
Elsevier Science
e druk, 2018
9780128132203
Modern Control of DC-Based Power Systems
A Problem-Based Approach
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
2018
ISBN13: 9780128132203
Rubricering
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Introduction to Modern Control on MVDC Problem Oriented Study<br>2. Control for Stand-alone converter<br>3. Small Signal Analysis of Cascaded Systems<br>4. System identification technique<br>5. Parallel Source Converter Systems<br>6. Approaches for Parallel Source Converter Systems<br>7. Simple linear State Space Observability<br>8. Simple LQR<br>9. Kalman Filter<br>10. Luenberger Observer<br>11. LSF – Exact Input Output Linearization<br>12. Centralized Synergetic<br>13. Concept of Virtual Disturbance for Decoupling (Kalman Filter)<br>14. 2Degree of Freedom – LQG+Virt<br>15. Backstepping<br>16. Synergetic<br>17. Sliding Mode<br>18. Concept Power Estimation for Decoupling Adaptive Backstepping<br>19. Hardware In the Loop Implementation and Challenges<br>20. Challenges – about Discretization</p>