Simulation of Intelligent Detection Method for Distribution Network Design Index Based on FBD Method
The traditional distribution network design index detection system contradicts the rapid development of distributed energy,and the safe and stable index system can not fully reflect the economic and sustainable advantages of the power grid under the new situation.In this paper,based on adaptive convolutional network and FBD equivalent distribution network,an FBD-ACNN intelligent detection model of distribution network indicators is constructed.Ac-cording to the model,firstly,the designed distribution network system is equivalent by adopting an FBD algorithm,so that the acquisition capability of the distribution network index is improved;secondly,from the four directions of safe-ty,reliability,environmental protection and operation,a distribution network design primary index system and a distri-bution network design secondary index system to be detected are respectively constructed;thirdly,the four types of ob-tained distribution network indexes are subjected to de-dimensionalization processing,so that the modeling efficiency of an index detection model is improved;and fourthly,the model is subjected to de-dimensionalization processing;fi-nally,Adam algorithm and annealing algorithm are integrated to improve the adaptive adjustment of index weight and network learning rate of convolutional network,and the intelligent detection model of distribution network index is con-structed.The simulation results of the baseline algorithm show that compared with the other three types of baseline de-tection algorithms,the single index and the comprehensive index of the FBD-ACNN algorithm are the optimal values on the PGI index detection data,which shows that the algorithm proposed in this paper has a good application effect in the actual data,and the optimal value shows that the algorithm has good stability and generalization.To sum up,the FBD-ACNN algorithm proposed in this paper can effectively incorporate the new energy system into the detection of distribution network design indicators,and improve the stability and generalization of the detection,which has impor-tant research value in the field of intelligent computers.
Distribution network designIndex detection systemACNN
万方数据
维普
