中国电机工程学报2024，Vol.44Issue(11)：4353-4366,中插14,15.DOI:10.13334/j.0258-8013.pcsee.222285
不同容量下并网模式交流微电网短路故障早期检测与区域定位
Early Detection and Regional Location of Short Circuit Fault for Grid-connected AC Microgrid With Different Capacity
摘要
Abstract
With the capacity change of distributed generation,the original power supply structure of microgrid has undergone modifications,altering the size,direction,and power flow configuration.This transformation poses a challenge in swiftly detecting and pinpointing the area of short-circuit faults within the microgrid..In this paper,a low-voltage AC microgrid model is built in MATLAB/Simulink.The current detected at the common connection point(PCC)between microgrid and large power grid is decomposed by high-scale wavelet energy spectrum algorithm,and the short-circuit fault eigenvalues suitable for different capacities are extracted,which realizes the early detection of short-circuit fault in microgrid under different capacities.By using wavelet energy spectrum characteristics and orthogonal least square(OLS)-radial basis function(RBF)neural network algorithm,a short-circuit fault location method suitable for microgrids with different capacities is proposed and verified by simulation.On this basis,the short-circuit fault protection hardware system of microgrid in grid connection mode is designed and verified by experiments.The results show that the designed protection system can quickly and accurately realize the early detection and regional location of short-circuit faults in grid-connected AC microgrid at the same time.关键词
并网模式微电网/短路故障/小波能量谱/正交最小二乘法(OLS)/径向基函数(RBF)/早期检测/区域定位Key words
grid-connected microgrid/short circuit fault/wavelet energy spectrum/orthogonal least square(OLS)/radial basis function(RBF)/early detection/regional location分类
信息技术与安全科学引用本文复制引用
郑昕,甘鸿浩..不同容量下并网模式交流微电网短路故障早期检测与区域定位[J].中国电机工程学报,2024,44(11):4353-4366,中插14,15.基金项目
国家自然科学基金项目(52277136) （52277136）
福建省工业引导性项目(2021H0014). Project Supported by National Natural Science Foundation of China(52277136) （2021H0014）
Industry Guiding Project of Fujian Province(2021H0014). （2021H0014）
