论文标题
基于DFIG的风力涡轮机和同步发电机之间的控制协调，以实现最佳初级频率响应
Control coordination between DFIG-based wind turbines and synchronous generators for optimal primary frequency response
论文作者
论文摘要
本文提出了一种基于双喂养的感应发生器（DFIG）的同步发电机（SG）（SG）（SGS）和风力涡轮机（WTS）之间的新型协调机制，以增强一级频率调节。敦促WTS参与频率调节，特别是如果风能渗透不断增加。 WTS控制支持是可能的，但是由于WT缺乏储能，因此它是短暂的。当WTS支持结束时，此缺点可能会导致SGS州长的进一步延迟响应或进一步的频率衰减。拟议的协调试图解决这个问题。人工神经网络（ANN）用于获得最佳的协调信号，以改善频率响应。作为概念的证明，提出的协调在包括5 wt的风电场的9总线测试系统上进行了测试。仿真结果表明，频率nadir在大约22 \％和系统频率变化率（ROCOF）中降低，约为29.5 \％。需要进一步的工作来在大型系统中验证这一概念，但是到目前为止获得的开发和结果有望加强电源系统。
This paper proposes a novel coordinating mechanism between synchronous generators (SGs) and wind turbines (WTs) based on doubly-fed induction generators (DFIGs) for enhanced primary frequency regulation. WTs are urged to participate on frequency regulation, specially if wind power penetration keeps increasing. WTs control support is possible, but it is transient due to the WTs lack of energy storage. This drawback can result in either a further delayed response from the governors of SGs or further frequency decay when WTs support is over. The proposed coordination attempt to tackle this issue. An artificial neural network (ANN) is used to obtain an optimal coordination signal to improve frequency response. As a proof of concept, the proposed coordination is tested on a 9-bus test system that includes a wind farm with 5 WTs. Simulation results show that frequency nadir is reduced in about 22\% and rates of change of the system frequency (RoCoF) in about 29.5\%. Further work is needed to validate this concept in large-scale systems, but the development and results obtained so far are promising to strengthen power systems.
