考虑可控负荷的多区域电力系统分布式模型预测负荷频率控制

由于同步发电机的惯性较大，导致传统的集中式负荷频率控制模式反应不够迅速，而用户侧具有快速响应能力的可控负荷资源为系统的频率调节提供了新机遇。研究了考虑用户侧可控负荷资源主动参与系统频率调节的多区域互联电力系统分布式模型预测负荷频率控制问题。通过建立的含可控负荷的多区域互联电力系统负荷频率响应模型及自动发电控制模型，基于连续时域交替方向乘子法和分布式模型预测控制方法，提出了一种用户侧可控负荷资源主动参与的多区域互联电力系统分布式模型预测最优负荷频率控制模型。基于修改的IEEE39节点三区域互联电力系统进行仿真验证，结果表明所提考虑可控负荷的分布式模型预测控制策略可显著减少系统恢复至稳态所需的时间。分布式控制策略的控制自由度更高，增强了系统的可控性。

Distributed model predictive load frequency control of a multi-area power system considering controllable load

Because of the large inertia of a synchronous generator, conventional centralized load frequency control is not fast enough. Controllable load resources with fast response capability on the user side provide new opportunities for system frequency regulation. In this paper, the load frequency control of a multi-area interconnected power system with controllable load regulation capability is studied. Load frequency response and automatic generation control models of a multi-area interconnected power system with controllable load are established. Based on a continuous time domain alternating direction multiplier algorithm and the distributed model predictive control method, a distributed model predictive optimal load frequency control model of a multi-area interconnected power system with controllable load participation is proposed. Simulation is carried out based on the modified three-area IEEE39 bus system, illustrating that the proposed model can significantly reduce the time required for the system to return to a steady state. The control freedom of the distributed control strategy is higher, and this enhances the controllability of the system.