Robustness analysis of chemical process systems based on complex network non‐linear load capacity model

Abstract

In the complex network of chemical process systems, if a node fails, it may trigger cascading failures and affect normal operation. To enhance the ability of chemical process systems to maintain normal operation after the cascading failure, this paper presents cascading failure modelling and robustness analysis of chemical process systems based on the complex network non‐linear load capacity model. First, based on complex network theory, a complex network model of the chemical process is constructed; then, three cascading failure models are constructed using a combination of linear and non‐linear load capacity models and initial load and initial residual capacity redistribution strategies; and finally, the nodes with the maximum node degree are deliberately attacked to analyze the robustness of the chemical process system in response to cascading failure. The case study shows that the proposed models are valid and feasible, and the robustness of the chemical process system is enhanced as the load and capacity parameters are increased. By reasonably setting the initial load and adjusting the model parameters, the robustness can be effectively improved, providing a theoretical reference for improving the robustness of the actual chemical process system in response to cascading failure.

Cascading failure invulnerability analysis of chemical material network considering failure propagation capability

“…The parameters β = 0.8, α = 0.8, and θ = 0.75 are fixed in model 1 proposed in this paper and model 2 in the literature. [ 14 ] The influence of two node faults on the chemical material network is shown in Figure 7.…”

“…Wang et al [13] added the dynamic characteristics of the load based on the nonlinear load-capacity (L-C) model and the initial residual capacity redistribution, making the model more suitable for the logistics network while increasing the robustness reducing the network cost. Dong et al [14] used linear and nonlinear L-C models and different load redistribution strategies to build a cascading failure model for studying the chemical system, which improved the robustness of the chemical system but did not consider the impact of chemicals on the system.…”