基于原子稀疏分解的矿井电网故障选线方法研究

Research on fault line selection method of mine power network based on atomic sparse decomposition

针对现有矿井电网故障选线方法选线正确率低、易受故障初相角以及过渡电阻值影响等问题,根据矿井电网发生单相故障后的特点,提出了一种基于原子稀疏分解的矿井电网故障选线方法。将遗传算法与匹配追踪算法相结合,改善了该算法在计算量大上的不足。通过引入原子能量的概念,以比较故障发生后各条线路的相对能量值作为选线判据,并对该方法进行了可靠性分析及仿真计算。仿真结果表明,该方法不受故障时刻、过渡电阻值以及故障发生位置的影响,具有很强的鲁棒性和自适应性。

In the light of the existing mine power network fault line selection method,the accuracy of line selection is low,and it is easy to be affected by the initial phase angle of fault and the transition resistance value.According to the characteristics of single-phase fault in mine power grid,a fault line selection method for mine power network based on atomic sparse decomposition is proposed.The genetic algorithm and the matching pursuit algorithm are combined to improve the computational complexity of the algorithm.By introducing the concept of atomic energy,the relative energy value of each line after fault is selected as the criterion of line selection,and the reliability analysis and simulation calculation of the method are carried out.Simulation results show that the proposed method is robust and adaptive without the influence of the fault time,the transition resistance value and the location of the fault.