Distribution automation switch fault reconstruction and its reliability analysis based on improved genetic algorithm
In order to solve the problems of untimely response and low intelligence of the traditional manual switch in the power distribution system,the study constructs a reliability analysis model of power distribution automated switch based on improved genetic algorithm.The study firstly reconstructs the faults in the distribution system on the basis of the automated switch.And the reliability of automated switch is analyzed on the basis of reconstruction using improved genetic algorithm.The results show that in the reliability analysis model constructed by the study,the success rate of fault reconstruction and the range of load loss values are 92.16％and[-7.3-8.5V],respectively.Meanwhile,the loss accuracy of the reliability analysis model in the data processing process is only 0.21,the reconstruction assessment time consumed is 5.6 s,and the fault finding consumption,the time to restore power supply in non-faulty areas and the time consumed for fault information transfer are 38 min,49 min and 9 min,respectively,which are all better than the comparison methods.This indicates that the fault reconstruction of distribution automation switch based on improved genetic algo-rithm can effectively improve the reliability and stability of the system and reduce the impact of the fault occurrence.
genetic algorithmpower distribution systemautomation switchesdependabilityfault reconstruction
万方数据
维普
