Английски език
In an uncertain and complex environment, to ensure secure and stable operations of large-scale power systems is one of the biggest challenges that power engineers have to address today. Traditionally, power system operations and decision-making of controls are based on power system computations of physical models describing the behavior of power systems. Largely, physical models constructed according to some assumptions and simplifications, and such is the case with power system models. However, the complexity of the power system stability problems along with uncertainties and nonlinearities make the models non-practical or inaccurate. This call for adaptive or deep-learning algorithms to significantly improve current control schemes to solve decision and control problems. Cyber-Physical Infrastructures in Power Systems: Architectures and Vulnerabilities provides an extensive overview of CPS concepts and infrastructures in power systems with a focus on the current state-of-art research in this field. Detailed classifications are pursued highlighting existing solutions, problems, and developments in this area. Gathers the theoretical preliminaries and fundamental issues related to CPS architecturesProvides coherent results on adopting control and communication methodologies for critically examining problems in different units within smart power systems and microgrid systemsPresents advanced analysis under cyberphysical attacks and develops resilient control strategies to guarantee safe operation at various power levels
