A hierarchical active power control (HAPC) scheme based on the alternating direction method of multipliers (ADMM) is proposed for doubly-fed induction generator (DFIG)-based wind farms with distributed energy storage systems (ESSs). The wind farm controller optimizes the active power references for DFIG-based wind turbines (WTs) and ESSs inside the wind farm, and the aim is to minimize fatigue loads by minimizing variations of thrust force and shaft torque of WTs while tracking the dispatch command from the transmission system operator (TSO). Moreover, ESSs management is considered in the central controller and WT controllers. The solution method based on the ADMM with fast convergence is used to solve the model predictive control (MPC) optimization problem in a hierarchical manner without loss of optimality. With the ADMM, the control task is distributed to WT controllers, and the computation burden of the central wind farm controller can be efficiently reduced. A wind farm with 30 DFIG WTs was used to validate the control performance of the proposed HAPC scheme.

中文翻译：

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基于ADMM的分布式能源存储系统基于DFIG的风电场分层有功控制

针对具有分布式储能系统（ESS）的基于双馈感应发电机（DFIG）的风电场，提出了一种基于乘数交替方向法（ADMM）的分层有功功率控制（HAPC）方案。风电场控制器优化了风电场内部基于DFIG的风力涡轮机（WT）和ESS的有功功率参考，目的是通过最小化WT的推力和轴扭矩的变化来最小化疲劳负载，同时跟踪来自传输系统运营商（TSO）。而且，在中央控制器和WT控制器中考虑了ESS管理。基于ADMM快速收敛的求解方法被用于以分层方式解决模型预测控制（MPC）优化问题，而不会损失最优性。有了ADMM，将控制任务分配给WT控制器，可以有效减轻中央风电场控制器的计算负担。具有30个DFIG WT的风电场用于验证所提出的HAPC方案的控制性能。