Analysis Of Chemical Material Network Invulnerability Based On Complex Network Cascading Failure Theory

Chemical systems are characterized by large scale and complex processes and conform to the basic characteristics of complex networks.The units within the system are coupled with each other,and a small fault may spread and cause cascading failure,resulting in a large-scale system collapse and loss of normal operation,so how to deal with the cascading failure phenomenon is a key research problem.Therefore,it is necessary to analyze the hazardous nature and network topology of a wide variety of flammable and explosive chemicals in chemical material networks to understand the propagation capacity of faults and find the weak links in the network to provide theoretical support for preventing cascade failure phenomena and ensuring safe chemical production.Firstly,this paper establishes a chemical material network cascading failure invulnerability analysis model considering the failure propagation ability.Previous studies of cascading failures have been limited by the size and characteristics of the network,which prevented the definition of the fault propagation capacity of the edge based on the actual situation.Studies on the effects of network topology and certain risk factors on the amount of fault propagation still need to be completed.To address the above deficiencies,this paper analyzes the topology of the chemical material network and the hazardous properties of various flammable and explosive chemicals contained in it,and adds a fault propagation coefficient consisting of edge betweenness load and material hazard degree to the nonlinear load-capacity cascading failure model,which not only conforms to the nonlinear characteristics of the chemical system but also makes the load distribution of the failed nodes more reasonable.Then the node-degree oriented deliberate attack is used to attack the network nodes,and the chemical material network is analyzed by adjusting the capacity coefficient and weight coefficient of the cascading failure model to invulnerability.Secondly,this paper proposes an invulnerability analysis model for chemical material networks based on tenacity to determine the weak nodes of chemical material networks.The Breadth-First Search(BFS)algorithm is used to design the algorithm for solving the fitness function based on tenacity.The artificial bee colony algorithm(ABC)in continuous space is improved to a binary artificial bee colony algorithm in discrete space so that each decision variable of the initial honey source is a binary set,and the honey source update method uses a dissimilar or operation(XOR)and defines a following bee search strategy.The minimum tenacity of the network and the corresponding set of cut points are derived by simulation and then compared with the node degree,betweenness,eigenvector,and random attack methods.Finally,based on the nonlinear load-capacity cascading failure model,the node redundancy capacity and failure probability formulas are introduced to calculate the cascading failure probability of neighboring nodes in the cut-point set,and the node with a large failure probability is selected as the new weak node.The case validation shows that the above two models are feasible.On the one hand,we can analyze the ability of chemical material network failure propagation and summarize the model parameter adjustment method to improve the network invulnerability.On the other hand,it can search the minimum tenacity and cut point set of the chemical material network,as well as the cascading failure probability of neighboring nodes in the cut point set,and determine the weak links that need to be focused on protection.The method in this paper provides a theoretical basis for the cascading failure analysis and prevention of chemical material networks.