The safe and steady running of coal chemical looping gasification system (CCLGS) is directly related to the whole production benefit. CCLGS is composed of dryer, pyrolyzer, decomposer, fuel reactor (FR), and air reactor (AR), which reflects the complexity of the entire production process. In this paper, a novel dynamic safety control strategy based on process modeling and complex risk computation is put forward to ensure the stable operation of CCLGS. First, the process modeling of CCLGS is carried out by Aspen Plus, and the obtained simulation results are in agreement with experimental results. Then, the CCLGS complex network is formed by constructing the adjacency matrix and calculating comprehensive indicator (C_i) value to evaluate the importance of the variables and support risk computation. Subsequently, the risk values of five units are computed based on the unit maximum material coefficient (UMMC), unit general risk coefficient (UGRC), and unit special risk coefficient (USRC). The results prove that FR and AR have higher risk grades than other units. Finally, dynamic control study for FR and AR processes is conducted with the aim of evaluating pressure controllers by safety integrity level. The research will provide beneficial approaches for the safety control of actual plant.

煤化工循环气化系统（CCLGS）的安全稳定运行直接关系到整个生产效益。CCLGS由干燥器、热解器、分解器、燃料反应器（FR）、空气反应器（AR）组成，体现了整个生产过程的复杂性。本文提出了一种基于过程建模和复杂风险计算的新型动态安全控制策略，以确保CCLGS的稳定运行。首先，利用Aspen Plus对CCCLGS进行过程建模，得到的仿真结果与实验结果吻合。然后，通过构造邻接矩阵并计算综合指标（C _i) 值来评估变量的重要性并支持风险计算。随后，根据单位最大物质系数（UMMC）、单位一般风险系数（UGRC）和单位特殊风险系数（USRC）计算五个单位的风险值。结果证明，FR和AR比其他单位具有更高的风险等级。最后，进行了FR和AR过程的动态控制研究，目的是通过安全完整性等级来评估压力控制器。该研究将为实际电厂的安全控制提供有益的途径。