基于原子分解的谐振接地系统自适应故障选线方法

发布时间：2018-09-09 09:05

【摘要】：快速准确地选出故障线路对电网安全稳定运行有重大意义,鉴于此,分析了小电流接地系统发生单相接地故障时的暂态特征,并针对目前采用暂态量的故障选线方法的不足,将原子分解法应用到故障暂态零序电流的分析中。提出了基于粒子群优化算法(PSO)改进原子分解法的自适应选线算法,通过引入原子分解能量熵和衰减直流分量放大系数,计算暂态电流中衰减直流分量和自由振荡分量的能量比,从中选择最优的暂态信息用于选线。经MATLAB仿真表明,当故障合闸角≥45°时,利用各线自由振荡分量的特征能有效选线,在故障合闸角45°或过渡电阻≥100?故障情况下,均可利用各线衰减直流分量的特征实现故障选线,同时,该方法可以有效识别母线故障,表现出了一定的自适应性和较强的鲁棒性。
[Abstract]:Selecting fault lines quickly and accurately is of great significance to the safe and stable operation of power network. In view of this, the transient characteristics of single-phase grounding fault in low-current grounding systems are analyzed, and the shortcomings of the current fault line selection method based on transient quantity are pointed out. The atomic decomposition method is applied to the analysis of fault transient zero sequence current. An adaptive line selection algorithm based on particle swarm optimization (PSO) improved atomic decomposition method is proposed. The energy ratio of attenuated DC component and free oscillation component in transient current is calculated by introducing atomic decomposition energy entropy and attenuated DC component magnification factor. The optimal transient information is selected for line selection. MATLAB simulation shows that when the fault closing angle is 鈮，

本文编号：2231932