Hybrid adaptive robust control of static var compensator in power systems
Hybrid adaptive robust control of static var compensator in power systems
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DOI：
10.1002/rnc.2957
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发表时间：
2014-08
影响因子：
3.9
通讯作者：
Lei Zhang;Aimin Zhang;Zhigang Ren;Guoqi Li;Chao Zhang;Jiuqiang Han
中科院分区：
文献类型：
--
作者：
Lei Zhang;Aimin Zhang;Zhigang Ren;Guoqi Li;Chao Zhang;Jiuqiang Han
为了改善输电系统的暂态响应，提出了一种基于浸入不变自适应（I&I自适应）和L2-增益控制的静止无功补偿器混合自适应鲁棒控制方法。与标准I&I自适应控制算法相比，该方法在构造鲁棒控制律时不需要建立目标系统。因此，可以避免求解偏微分方程以满足浸入条件的过程。此外，参数和非参数的不确定性，这通常存在于电力传输系统中，被认为是。设计的自适应律通过保证估计误差收敛到零来估计系统阻尼系数引起的参数不确定性。非参数不确定性是由外部干扰和建模不确定结构时的近似误差引起的。通过假设系统对非参数不确定性的L2-增益满足耗散不等式，我们发现可以保证控制器的鲁棒性。证明了系统的所有状态是全局有界的，并收敛到一个新的稳定平衡点。仿真结果表明，所提出的控制方法在改善系统的瞬态响应和系统状态的收敛速度的有效性。版权所有© 2013约翰威利父子有限公司.
To improve the transient response of an electric power transmission system, a hybrid adaptive robust control method is proposed in this paper for the static var compensator by incorporating the immersion and invariance adaptive (I&I adaptive) and L2‐gain control. In contrast to the standard I&I adaptive control algorithm, establishing a target system is not required in constructing the robust control law with the proposed method. Thus, the procedure of solving PDEs to satisfy the immersion condition can be avoided. In addition, both parametric and non‐parametric uncertainties, which commonly exist in electric power transmission systems, are considered. The parametric uncertainty induced by the damping coefficient of the system is estimated by the designed adaptive law, which is constructed by ensuring the estimation error converges to zero. The non‐parametric uncertainty is caused by external disturbances and approximation errors in modeling the uncertain structure. By assuming that the L2‐gain of the system to the non‐parametric uncertainties satisfies a dissipation inequality, we found that the robustness of the controller can be guaranteed. It is proved that all the system states are globally bounded and converge to a new stable equilibrium. Simulation results are also presented to show the effectiveness of the proposed control method in improving the transient response of the system and the convergence speed of the system states. Copyright © 2013 John Wiley & Sons, Ltd.