Modeling, Operation, and Analysis of DC Grids
From High Power DC Transmission to DC Microgrids
- 1st Edition - July 1, 2021
- Imprint: Academic Press
- Editor: Alejandro Garces
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 1 0 1 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 1 0 2 - 0
Modeling, Operation, and Analysis of DC Grids presents a unified vision of direct current grids with their core analysis techniques, uniting power electronics, power systems, an… Read more
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Request a sales quoteModeling, Operation, and Analysis of DC Grids presents a unified vision of direct current grids with their core analysis techniques, uniting power electronics, power systems, and multiple scales of applications. Part one presents high power applications such as HVDC transmission for wind energy, faults and protections in HVDC lines, stability analysis and inertia emulation. The second part addresses current applications in low voltage such as microgrids, power trains and aircraft applications. All chapters are self-contained with numerical and experimental analysis.
- Provides a unified, coherent presentation of DC grid analysis based on modern research in power systems, power electronics, microgrids and MT-HVDC transmission
- Covers multiple scales of applications in one location, addressing DC grids in electric vehicles, microgrids, DC distribution, multi-terminal HVDC transmission and supergrids
- Supported by a unified set of MATLAB and Simulink test systems designed for application scenarios
Graduate students and 1st year PhD students (and related early career researchers) from control engineering, power electronics, power systems engineering. Early career researchers investigating power systems analysis, analysis of DC grids, stability, HVDC transmission and / or microgrids. Engineers who are used to AC systems and to understand the operation of DC grids
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- 1: Introduction
- Abstract
- 1.1. The battle of the currents
- 1.2. DC grids
- 1.3. Power electronics
- 1.4. High-power applications
- 1.5. Low-power applications
- References
- Part 1: High power applications
- 2: HVDC transmission for wind energy
- Abstract
- 2.1. Wind energy
- 2.2. Slow-dynamics model of the wind turbine
- 2.3. HVDC transmission for wind farms
- 2.4. Stability of HVDC transmission lines
- 2.5. Summary
- References
- 3: DC faults in HVDC
- Abstract
- 3.1. Minimum requirements for the protection system of MTDC
- 3.2. Impact of DC faults in VSC
- 3.3. Analysis of the MTDC-HVDC during DC faults
- 3.4. Detection and identification strategies in MTDC
- 3.5. Clearance strategies for MTDC
- 3.6. HVDC circuit breakers
- 3.7. Fault current limiters
- References
- 4: Eigenvalue-based analysis of small-signal dynamics and stability in DC grids
- Abstract
- 4.1. Introduction
- 4.2. Introduction to state-space modeling of electrical systems
- 4.3. Synthesis of system-level state-space models of HVDC grids
- 4.4. Examples of sub-system modeling
- 4.5. Practical considerations for modular and automated generation of system-level small-signal state-space models
- 4.6. Example of small-signal analysis
- 4.7. Conclusion
- References
- 5: Inertia emulation with HVDC transmission systems
- Abstract
- Acknowledgement
- 5.1. Introduction
- 5.2. Basis for a need of virtual inertia with VSC HVDC systems
- 5.3. VSC HVDC control approaches for inertia emulation
- 5.4. Fast frequency response service by VSC HVDC systems
- 5.5. Summary
- References
- 6: Real-time simulation of a transient model for HVDC cables in SOC-FPGA
- Abstract
- 6.1. Introduction
- 6.2. Frequency domain model formulation
- 6.3. Cable model with difference equations
- 6.4. VHDL conceptual design of the HVDC cable model
- 6.5. Integration and development of the HVDC cable in VHDL
- 6.6. Conclusions
- References
- 7: Probabilistic analysis in DC grids
- Abstract
- 7.1. Introduction
- 7.2. DC power grid model
- 7.3. Probabilistic power flow analysis in DC grids
- 7.4. Bayesian modeling of DC grids
- 7.5. Experimental validation
- 7.6. Conclusions
- References
- Part 2: Low power applications
- 8: Stationary-state analysis of low-voltage DC grids
- Abstract
- 8.1. Introduction
- 8.2. Modeling the grid
- 8.3. Results
- 8.4. Conclusions
- References
- 9: Stability analysis and hierarchical control of DC power networks
- Abstract
- 9.1. Literature review and scope of the chapter
- 9.2. Power system and control system overview
- 9.3. Small-signal modeling of the DC microgrid
- 9.4. Case study and prototype description
- 9.5. Validation of the model predictive controller
- 9.6. Validation of the small-signal modeling approach
- 9.7. Conclusion
- References
- 10: Digital control strategies of DC–DC converters in automotive hybrid powertrains
- Abstract
- Acknowledgements
- 10.1. Introduction
- 10.2. Analysis of the DC–DC power converters
- 10.3. Digital current control strategies
- 10.4. Simulation results
- 10.5. Summary
- References
- 11: Adaptive control for second-order DC–DC converters: PBC approach
- Abstract
- Acknowledgements
- 11.1. Introduction
- 11.2. DC–DC converter modeling
- 11.3. Passivity-based control method
- 11.4. Control design for DC–DC converters
- 11.5. Simulation results
- 11.6. Conclusions
- References
- 12: Advances in predictive control of DC microgrids
- Abstract
- Acknowledgement
- 12.1. Introduction
- 12.2. Predictive control of DC microgrids
- 12.3. Conclusion
- References
- 13: Modeling and control of DC grids within more-electric aircraft
- Abstract
- 13.1. Introduction to more-electric aircraft
- 13.2. Modeling of aircraft EPS
- 13.3. Control development
- 13.4. Summary
- References
- Index
- Edition: 1
- Published: July 1, 2021
- No. of pages (Paperback): 388
- No. of pages (eBook): 388
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128221013
- eBook ISBN: 9780128221020
AG
Alejandro Garces
Dr Alejandro Garces received his bachelor’s degree in electrical engineering and his master degree in power systems engineering from the Universidad Tecnologica de Pereira (Colombia) in 2004 and 2006 respectively. He received his PhD degree from Norwegian University of Science and Technology in in 2012. Since gaining his PhD, he has been research fellow at NTNU, consultant for the inter-American Development Bank and the Latin-American organization of energy, as well as for the commission of regulation of gas and energy in Colombia. He participated in the Smart Grids Colombia Vision 2030 study which defined the roadmap for the implementation of smart grids in Colombia. Dr. Garces is currently Assistant Professor at the Department of Electric Power engineering, Universidad Tecnologica de Pereira. His current research interests include mathematical optimization and control for power systems applications, dynamics in electric grids, renewable energies, energy storage devices, microgrids and HVDC transmission.
Affiliations and expertise
Assistant Professor, Department of Electric Power engineering, Universidad Tecnologica de Pereira, Carrera, ColombiaRead Modeling, Operation, and Analysis of DC Grids on ScienceDirect