Improve the Application of Gray Wolf Algorithm in Fault Location of Intelligent Building Power Supply and Distribution System
With the continuous progress of science and technology,artificial intelligence has been widely used in the construction industry,and gave birth to the field of intelligent buildings.This paper describes the intelligent building and introduces the application of swarm intelligence algorithm in fault location of distribution network in intelligent building.In view of the shortcomings of grey Wolf algorithm,Tent chaos mapping and improved conver-gence factor a are added,and inertia weight is added to improve the performance of the algorithm.Meanwhile,compared with binary particle swarm optimization algorithm and Harris Eagle algorithm,the results show that the improved Grey Wolf algorithm has more superior characteristics.Finally,simulation experiments of single point fault and multi-point fault on IEEE33 node model are carried out to verify the effectiveness of improved grey Wolf algorithm in fault location of intelligent building distribution network.
intelligent buildinggray wolf algorithmTent chaos mappingIEEE33 node
万方数据
维普
