Research on Adjustable Load Optimization in Steel Production Based on Petri Net

With the in-depth promotion of the global energy structure transformation and power demand-side management, steel enterprises, as high-energy-consuming industries, are facing an urgent need to participate in power grid peak shaving. In this paper, aiming at the complexity and multi-link coupling characteristics of the steel production process, a modeling and peak shaving optimization method for the steel production process based on Petri nets is proposed. First of all, a hierarchical Petri net modeling method is used to construct a steel production system model that includes key processes such as sintering, rolling, and oxygen production. The production state and material buffer are represented by places, and the production activities and control events are represented by transitions, clearly depicting the parallel and synchronous relationships among various links. Secondly, a peak shaving auxiliary logic transition is introduced, and a load regulation mechanism for each process during peak and off-peak periods is designed. The flexible switching of the production mode is achieved by controlling the flow of tokens among places. On this basis, an optimization model with the goal of minimizing the electricity cost during peak periods is established, comprehensively considering production plan constraints, coupling constraints among processes, and minimum operation time constraints. This method organically combines the discrete production scheduling problem with the continuous load optimization problem, providing theoretical support and decision-making basis for steel enterprises to participate in power demand response.