Microgrids Presents microgrid methodologies in modeling, stability, and control, supported by real-time simulations and experimental studies
Microgrids: Dynamic Modeling, Stability and Control, provides comprehensive coverage of microgrid modeling, stability, and control, alongside new relevant perspectives and research outcomes, with vital information on several microgrid modeling methods, stability analysis methodologies and control synthesis approaches that are supported by real-time simulations and experimental studies for active learning in professionals and students alike.
This book is divided into two parts: individual microgrids and interconnected microgrids. Both parts provide individual chapters on modeling, stability, and control, providing comprehensive information on the background, concepts, and architecture, supported by several examples and corresponding source codes/simulation files. Communication based control and cyber security of microgrids are addressed and new outcomes and advances in interconnected microgrids are discussed.
Summarizing the outcome of more than 15 years of the authors’ teaching, research, and projects, Microgrids: Dynamic Modeling, Stability and Control covers specific sample topics such as:
- Microgrid dynamic modeling, covering microgrid components modeling, DC and AC microgrids modeling examples, reduced-order models, and model validation
- Microgrid stability analysis, covering stability analysis methods, islanded/grid connected/interconnected microgrid stability
- Microgrids control, covering hierarchical control structure, communication-based control, cyber-resilient control, advanced control theory applications, virtual inertia control and data-driven control
- Modeling, analysis of stability challenges, and emergency control of large-scale interconnected microgrids
- Synchronization stability of interconnected microgrids, covering control requirements of synchronous microgrids and inrush power analysis
With comprehensive, complete, and accessible coverage of the subject, Microgrids: Dynamic Modeling, Stability and Control is the ideal reference for professionals (engineers, developers) and students working with power/smart grids, renewable energy, and power systems, to enable a more effective use of their microgrids or interconnected microgrids.
Qobad Shafiee is an Associate Professor at the University of Kurdistan, Faculty of Engineering. He earned his PhD in Electrical Engineering from Aalborg University in 2014 and is an IEEE Senior Member.
Mobin Naderi received his PhD in Control of Modern Power Systems from the University of Kurdistan in 2019, where he is currently a postdoctoral scholar.
Hassan Bevrani is a Professor and Head of Smart/Micro Grids Research Center at the University of Kurdistan.
