Abstract This paper proposes a novel distributed model predictive control (DMPC) scheme for frequency regulation of multi-area power systems with substantial renewable power sources and different types of controllable units including synchronous generators, flexible loads and energy storage devices. The frequency regulation task is firstly formulated as a model predictive control (MPC) problem, and then is solved by a distributed projection-based algorithm via peer-to-peer communication. The objectives of the proposed controller are twofold. Firstly, it is to maintain the system frequency and net inter-area power exchanges at their nominal values by optimally adjusting the active powers of controllable units. Secondly, it is to make the system variables such as the bus frequencies, power output/consumption of each control-lable unit, ramping rates of generators and stored energy levels of storage devices meet their operational constraints. Case studies demonstrate the effectiveness of the designed control method.

中文翻译：

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基于分布式 MPC 的多区域储能系统频率控制

摘要 本文提出了一种新的分布式模型预测控制 (DMPC) 方案，用于多区域电力系统的频率调节，该系统具有大量可再生能源和不同类型的可控单元，包括同步发电机、柔性负载和储能设备。频率调节任务首先被制定为模型预测控制 (MPC) 问题，然后通过点对点通信通过基于分布式投影的算法来解决。提议的控制器的目标是双重的。首先，通过优化调整可控单元的有功功率，将系统频率和区域间净功率交换维持在其标称值。其次，使系统变量如总线频率、每个控制单元的功率输出/消耗、发电机的上升速率和存储设备的存储能量水平满足其操作限制。案例研究证明了设计控制方法的有效性。