Simulation of Microgrid Data Exchange Model Based on Support Vector Machine Algorithm

Microgrid, as a supplement to large power grid, has great development potential in its application. Data exchange system is a business system based on data exchange model, and its core functions mainly include data transmission and data processing. In this paper, the simulation research of microgrid data exchange model based on SVM (support vector machine) algorithm is carried out. Based on SOA technology architecture, a data exchange model is established. A fuzzy membership function model based on SVM is proposed, which can effectively classify the data in unclassifiable areas according to the distance between data points and classification hyperplane. The simulation results show that the average classification accuracy of this method is 91.295%, and the division of membership degree improves the anti-noise ability of SVM and ensures the prediction accuracy. Provide uniform data exchange standards and data exchange interfaces for power enterprises, and meet the vertical data penetration and horizontal application interaction requirements of the whole company.