Robust Optimization of Chemical Networks Based on Dynamic Nonlinear Load Capacity Model

Abstract

Abstract In the research on the robustness of chemical network, predecessors described the robustness of chemical network by establishing a cascade failure model, and then optimized the robustness. However, in the previous research, it was mainly static, without considering the network dynamics formed by the complex internal structure and strong correlation between variables of chemical network. At the same time, the previous research mainly focuses on static and does not consider the network dynamics formed by the complex internal structure of the chemical network and the strong correlation between variables. Therefore, this paper considers the dynamic characteristics of the actual chemical process system network, establishes a dynamic cascade failure model based on a nonlinear model of load capacity, and proposes a target node protection strategy to protect specific target nodes for robust optimization after considering the influence of specific nodes on neighboring nodes, which reduces the failure probability after the network suffers a failure and provides a It provides a theoretical basis for improving the cascade failure resistance of chemical networks.