Coordination and Control Method of Electrofusion Magnesium Group Furnace Participating in Grid Primary Frequency Regulation

The participation of high energy-consuming electrofusion magnesium furnace (EMF) in system frequency control serves as an effective frequency response control resource, effectively compensating for the lack of frequency response resources under the new situation. The enormous potential of load-side resources participating in grid primary frequency regulation (PFR) has been demonstrated, relying on the market-oriented paid service mechanism. However, the participation of load-side resource in PFR encounters significant challenges due to the combined effects of complex factors such as load modeling, functional objectives and uncertain information. By analyzing the energy consumption characteristics of EMF and clarifying their operation and regulation characteristics, we propose a control mechanism for the participation of electrofusion magnesium group furnace (EMGF) in PFR in the power grid, and derive the corresponding frequency response characteristics as well. With the objective of maximizing the overall revenue of the electrofusion magnesium enterprise, we establish an optimization model for day-ahead reported capacity of EMGF in PFR, given consideration to the demand for frequency regulation, energy demand limitations, and product quality. To minimize the intra-day penalties, the economic model predictive control (EMPC) is employed to coordinate the EMGF with predictive control, aiming to accurately track the frequency difference signal. The day-ahead reported capacity serves as the baseline PFR capacity for real-time rolling optimization. Finally, the simulation examples have verified the effectiveness of the method proposed in this paper, demonstrating its ability in effectively improving the overall revenue of the electrofusion magnesium enterprise while satisfying the requirements of system frequency response control.