Power plant risk management optimization based on NSGA-II

In order to enhance the efficiency of power plant risk management and control, this study focuses on the allocation of risk control tasks and the planning of risk inspection routes for the first time. We propose a dual-objective optimization model based on NSGA-II, which takes into account both fairness in allocation and control costs. In the design of the model, we consider various practical aspects of the enterprise, including different types of risk points, average speeds on different road sections, and the possibility of multiple personnel passing through the same risk point. Taking the risk distribution network of 28 risk points and 40 road sections in two regions of a certain enterprise as an example, there are a total of 3 available inspection personnel for allocation. In this case, we obtained 22 sets of Pareto solutions, including schemes with the shortest time, the most fair allocation, and those that balance both factors. This model has generality across various types of enterprises and can provide better decision-making references for the allocation of risk control tasks and the planning of inspection routes.