介绍了一种可有效检测而且能估计出高压直流输电(HVDC)系统中故障的方法。首先根据HVDC系统模型,构建故障观测器,形成广义残差模型。然后通过线性矩阵不等式(LMI)的方法,将HVDC故障检测问题转化为鲁棒稳定性分析问题,并给出了解存在的LMI条件和求法。为有效地对检测出的故障进行分类,建立了一种基于迭代学习算法的新型故障诊断滤波器,可估计出HVDC系统中发生的故障,从而达到对其进行分类的目的。仿真结果验证了文中所提出的算法能有效检测出发生的故障,且对不同的故障能正确地分类。
60574081
This paper proposes a novel method for the HVDC system, which can detect the system fault and, more importantly, diagnose the HVDC fault function. First of all, a fault detecting filter is constructed to detect the system faults. Based on the LMI approach, the design of the fault detecting filter problem can be transformed into a problem for system robust stability analysis. In order to classify the detected HVDC faults, a novel iterative-learning-algorithm-based fault observer is developed to diagnose the HVDC system faults. The simulation results indicate the effectiveness and efficiency of the approach proposed.
| [1] | 颜秉勇 ,田作华 ,施颂椒 ,等.基于H∞滤波器和迭代算法的HVDC系统故障诊断[J].电力系统自动化,2007,31(19):68-72. YAN Bingyong, TIAN Zuohua, SHI Songjiao, et al. Fault Diagnosis for HVDC Systems Based on the H∞ Filter and Iterative Algorithm[J]. Automation of Electric Power Systems, 2007, 31(19):68-72. |