Venkateswaran Raghul, Joo Young Hoon
IEEE Trans Cybern. 2022 Jul;52(7):5767-5777. doi: 10.1109/TCYB.2020.3042543. Epub 2022 Jul 4.
In this article, we investigate the robust stabilization for an interconnected power system with a doubly fed induction generator (DFIG)-based wind farm via retarded sampled-data control (RSDC). Generally, the interconnected power system with DFIG-based wind farm considers a mechanical torque, and load deviation, which is taken into disturbance of the proposed model. The main concern of this article is to stabilize and mitigate the frequency fluctuation, and speed deviation of the DFIG-based wind farm. To do this, a more general sampled-data control strategy, involving the effect of constant time delay is considered and the sampling period is assumed to vary within an interval. In addition, the defined disturbances are attenuated by using the H performance-based RSDC scheme. An appropriate Lyapunov Krasovskii functional (LKF) is constructed to obtain the delay-dependent sufficient conditions in the form of linear matrix inequalities (LMIs) by using the RSDC strategy. The obtained conditions ensure the proposed closed-loop system is asymptotically stable under the designed controller. Finally, simulation results and comparative results are given to illustrate the effectiveness of the designed control scheme.
在本文中，我们通过滞后采样数据控制（RSDC）研究了基于双馈感应发电机（DFIG）的风电场互联电力系统的鲁棒镇定问题。一般来说，基于DFIG的风电场互联电力系统考虑了机械转矩和负载偏差，这被视为所提模型的干扰。本文主要关注的是镇定和减轻基于DFIG的风电场的频率波动和转速偏差。为此，考虑了一种更通用的采样数据控制策略，其中涉及恒定时间延迟的影响，并假设采样周期在一个区间内变化。此外，通过使用基于H性能的RSDC方案来衰减定义的干扰。构建了一个合适的李雅普诺夫 - 克拉索夫斯基泛函（LKF），通过使用RSDC策略以线性矩阵不等式（LMI）的形式获得与延迟相关的充分条件。所获得的条件确保所提闭环系统在设计的控制器下渐近稳定。最后，给出了仿真结果和对比结果以说明所设计控制方案的有效性。
