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Titlebook: Control and Optimization Methods for Complex System Resilience; Chao Zhai Book 2023 The Editor(s) (if applicable) and The Author(s), under

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,Risk Identification of Cascading Process Under Protection,ization framework to prevent the cascading outages of power grids. In theory, the necessary conditions for identifying the most disruptive disturbances are obtained by solving an integrated system of algebraic equations. Finally, numerical simulations are carried out to validate the proposed approach on the IEEE 24 Bus System.
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Book 2023cies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation..
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,Introduction to Complex System Resilience,ation or communication systems), social and economic organizations, and ecosystems. Undoubtedly, understanding and taming complex systems is of great significance to the advances of human society. Thus, it is crucial to develop a systematic control and optimization approach to enhancing the robustne
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Security Monitoring Using Converse Lyapunov Function,stable state trajectories of system dynamics. Most existing works on estimating ROA rely on analytical Lyapunov functions, which are subject to two limitations: the analytic Lyapunov functions may not be always readily available, and the resulting ROA may be overly conservative. This work overcomes
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,Model Predictive Approach to Preventing Cascading Proces,ower grids. It is crucial to eliminate the propagation of cascading outages in its infancy. In this chapter, a model predictive approach is proposed to protect power grids against cascading blackouts. First of all, the cascading dynamics of power grids is described by the outage model of transmissio
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