电熔镁群炉参与电网一次调频的协调调控方法

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

  • 摘要: 作为一种高效的频率响应控制资源,高耗能电熔镁炉参与系统频率控制可有效弥补新形势下的频率响应资源缺失。通过市场化的有偿服务机制,负荷侧资源参与电网一次调频的巨大潜力得以充分发挥。但受限于负荷建模、功能目标和不确定信息等复杂因素的共同作用,负荷侧资源参与电网频率调整正面临着重大挑战。通过分析电熔镁炉用能特点,明确其运行和调整特性,提出群炉参与电网一次调频的控制机制,并推导出相应的频率响应特性;以企业整体收益最大化为目标,兼顾调频需求、用能需量限制与产品质量,建立群炉参与一次调频日前上报容量的优化模型;以日内惩罚最小化为目标,利用经济型模型预测控制协调群炉以准确跟踪频差信号,将日前上报功率作为基准调频容量进行实时滚动优化。最后,通过仿真算例验证所提方法的有效性,结果表明该调控方法可在满足系统频率响应控制需求的前提下,有效提升电熔镁企业的整体收益。

     

    Abstract: 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.

     

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