Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems

This book develops innovative non-centralized optimization-based control schemes to solve economic dispatch problems of large-scale energy systems. It focuses on communication and cooperation processes of local controllers and proposes distributed optimization methods over time-varying networks. The methods are extended to cases with random communication networks and asynchronous updates and are rigorously analyzed.

Format: Paperback / softback
Length: 154 pages
Publication date: 13 December 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the development of cutting-edge non-centralized optimization-based control schemes to address the complex economic dispatch problems of large-scale energy systems. With a strong focus on the communication and cooperation processes of local controllers, which are crucial components of these schemes, the book offers a detailed exploration of the economic dispatch problem, formulated as a convex optimization problem with edge-based coupling constraints. By employing methodologies from distributed optimization over time-varying networks, coupled with distributed model predictive control and system partitioning techniques, the book successfully solves this challenging problem.

In the initial chapters, the book introduces two distributed optimization methods, which involve iterative processes where local controllers exchange information with each other at each iteration. It demonstrates that when certain conditions, such as the communication and cooperation strategies of the controllers, are met, these methods converge to an optimal solution for the economic dispatch problem. Furthermore, the book proposes an information exchange protocol to handle potential communication link failures, ensuring the robustness and reliability of the control schemes.

To extend the applicability of the proposed distributed optimization methods, the book considers scenarios with random communication networks and asynchronous updates. It presents a rigorous mathematical analysis of each algorithm, providing insights into their performance and limitations. By presenting a comprehensive approach to address communication and cooperation issues in non-centralized control schemes, the book showcases how these improved schemes can be successfully applied to solve the economic dispatch problems of large-scale energy systems.

Overall, this book provides a valuable resource for researchers, engineers, and practitioners interested in developing advanced control strategies for energy systems. It offers a comprehensive understanding of distributed optimization, model predictive control, and system partitioning techniques, enabling readers to design and implement effective and efficient control solutions for complex energy systems.

Weight: 273g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030898052
Edition number: 1st ed. 2022