针对电力通信网络中的通信约束问题, 提出一种具有通信约束的广域电力系统分布式模型预测控制(DMPC, Distributed Model Predictive Control)方法, 通过各子系统控制器的合作控制, 使得系统的整体性能达到最优. 采用控制器间的合作通信方式和线性矩阵不等式(LMI, Linear Matrix Inequality)技术, 提出了迭代DMPC算法, 从而得到分布式控制器. 最后, 通过WSCC九节点模型的仿真研究, 验证了所提方法的有效性.

In this paper, a distributed model predictive control (DMPC) problem is investigated for wide-area power system with communication constraints. In the DMPC, interactions between subsystems are considered, as well as that of the communication between controllers. By using cooperative control strategy and linear matrix inequality technology, an iterative DMPC algorithm is proposed to design the distributed controllers. Finally, a simulation example of Western Systems Coordinating Council system is presented to show the effectiveness of the proposed method.