학술논문

A Computational Framework for Control Co-Design of Resilient Cyber–Physical Systems With Applications to Microgrids
Document Type
Periodical
Source
IEEE Transactions on Control Systems Technology IEEE Trans. Contr. Syst. Technol. Control Systems Technology, IEEE Transactions on. 32(3):793-804 May, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Resilience
Measurement
Computational modeling
Optimization
Engines
Control systems
Microgrids
Control design
design optimization
hyperparameter optimization
microgrids
resilience
Language
ISSN
1063-6536
1558-0865
2374-0159
Abstract
Critical infrastructure networks, such as power and transportation networks, are often modeled as Cyber–Physical systems (CPSs). With ever increasing complexity of these systems, there is a need for newer and more relevant metrics and design tools that will co-optimize the physical system components and control policies to guarantee resilience against cyber and natural threats. To this end, we develop a simulation-based control co-design computational framework that will concurrently determine the system and control parameters of a CPS to meet prespecified resilience, operational, and economic objectives. The capabilities of the developed co-design engine are demonstrated by designing the physical components and control parameters of a microgrid system that will meet its resiliency objectives when subjected to various cyber and physical threats.