Energy Management in Steelmaking by Electric Arc Furnace Based on OLTC

Demand side management (DSM) is a popular topic that has been widely discussed in the electricity industry in recent years.Industrial processes, such as steel production, have complex planning in general.In many industrialized countries, these plants regularly participate in DR programs.Electric arc furnaces (EAFs) in steel mills have been recognized as having high potential for DSM.The widely used method for modeling, optimizing and planning such plants in general is the Resource-Task Network (RTN). To solve the problem of achieving optimal solution, it is recommended to use a meta-heuristic algorithm. For the purpose of comparison, two genetic (GEN) and particle swarm Optimization (PSO) algorithms are used for this purpose. Case studies were performed to illustrate the impact of the proposed method on the daily planning of a steel plant. Overall, the results indicate that incorporating on-load tapchangers (OLTC) into the planning of a steel plant results in improvements in reducing its daily costs.