Modeling and Stability Analysis of Inverter-Based Resources

This book provides a comprehensive guide to dynamic modeling and analysis of induction motor-based rotating machinery, covering key techniques such as electromagnetic transient testing, ODE-based modeling, stability analysis, and data-driven identification. It also discusses the use of computing techniques like data fitting and optimization.

Format: Hardback
Length: 274 pages
Publication date: 29 November 2023
Publisher: Taylor & Francis Ltd

Dynamic modeling and analysis of interconnected power systems is a crucial aspect of modern power system operations and planning. In this book, we delve into the various techniques and methodologies used to simulate and analyze these complex systems.

One of the key approaches in dynamic modeling is the use of simulation tools such as Simulink/Simscape/PSCAD. These tools allow for the creation of dynamic models of power systems, which can be used to study the behavior and performance of the system under different operating conditions.

Case studies associated with real-world interconnected power systems are included in the book, and remarks are drawn from numerical case studies are compared with real world observations. These case studies provide valuable insights into the challenges and complexities of power system operations and help validate the models developed in the book.

Simulink/Simscape/PSCAD dynamic model examples are provided for replication. These examples demonstrate the practical application of the techniques discussed in the book and help readers understand how to apply them in their own work.

Matlab codes are provided for steady-state computing of IBR systems and data-driven IBR modeling. These codes allow for the calculation of system parameters and the simulation of power system behavior under different operating conditions.

There are four sets of essential techniques in dynamic modeling and analysis covered in the book, including:

Electromagnetic transient (EMT) test bed building and tuning: This technique involves the creation of a test bed for simulating electromagnetic transients in power systems. It involves the design and construction of test equipment, the development of simulation models, and the tuning of simulation parameters to obtain accurate results.

Ordinary differential equations (ODE)-based model building: This technique involves the use of differential equations to model the behavior of power systems. It involves the development of mathematical models that describe the dynamics of the system, including the transfer of power, voltage, and current.

Stability analysis techniques: This technique involves the analysis of the stability of power systems under different operating conditions. It involves the use of mathematical tools such as Lyapunov functions and eigenvalue analysis to identify critical points in the system and determine the stability of the system.

Measurement data-based model identification: This technique involves the use of measurement data to identify the parameters of a power system model. It involves the analysis of data from sensors, SCADA systems, and other sources to estimate the parameters of the model and improve its accuracy.

Various computing techniques, such as data fitting and optimization, have also been extensively used in this book. These techniques allow for the refinement and improvement of power system models by identifying the best-fit parameters and optimizing the model's performance.

In conclusion, dynamic modeling and analysis of interconnected power systems is a complex and challenging field that requires the use of a wide range of techniques and methodologies. This book provides a comprehensive introduction to the various techniques and methodologies used in dynamic modeling and analysis, and is a valuable resource for researchers, practitioners, and students in the field.

Weight: 690g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032348292