智能电网下固态变压器电源切换故障自适应定位分析

针对传统固态变压器电源切换故障自适应定位方法，存在定位精度较差的问题，提出一种智能电网下固态变压器电源切换故障自适应定位方法，引入自适应矩阵算法，获取智能电网下固态变压器电源切换故障区间，在故障区间内采用自适应遗传退火算法，完成固态变压器电源切换故障点的自适应定位。实验结果表明，该方法能够准确定位故障点，具有高度的容错性，且在不同过渡电阻与负载下，故障定位精度始终较高，在实际配电系统中具有可行性。

Adaptive Positioning Analysis of Switching Fault of Solid-state Transformer Power Supply in Smart Grid

Aiming at the problem of poor positioning accuracy of traditional adaptive fault location method for power supply switching of solid-state transformer, an adaptive fault location method for power supply switching of solid-state transformer in smart grid is proposed. The adaptive matrix algorithm is introduced to obtain the fault area of power supply switching of solid-state transformer in smart grid. The adaptive genetic annealing algorithm is used to complete the fault area Adaptive location of transformer power supply switching fault point. The experimental results show that this method can locate the fault point accurately, has high fault tolerance, and under different transition resistance and load, the fault location accuracy is always high, which is feasible in the actual distribution system.