Research on Hierarchical Model and Improved IA for Fault Localization in DG-Containing Distribution Network
Conventional fault localization methods for distribution network distributed generation(DG)-containing devices ignore the effect of the number of feeder nodes in the distribution network,which leads to poor accuracy of the localization results.Therefore,the hierarchical model and improved immunity algorithm(IA)for fault localization method with DG-containing distribution networks is designed by combining hierarchical model and the improved IA.Firstly,a three-layer DG-containing distribution network fault hierarchical model is constructed,and single-node fault information is analyzed.Then,the expected reproduction degree of the algorithm is optimized by improving the inter-antibody similarity of the base IA.Finally,the node search path of the hierarchical model is optimized based on the improved IA,the world coordinate system and fuse the DG switch states are establishod to obtain the final fault location information.The experimental results show that the maximum difference between the fault node distance derived from the application of the method and the real fault node distance is only 0.013 km.The method exhibits an adaptation value curve that is highly close to the optimal adaptation value curve,with high localization accuracy,and can satisfy the realistic needs of fault operation and maintenance work in DG-containing distribution network.
万方数据
维普
