Analysis of Distributed Photovoltaic Limit Capacity Calculation Taking into Account Multiclassified Least Squares Support Vector Machine Based

Since the current distributed PV limit capacity calculation process suffers from low accuracy, operational efficiency and unrealistic analysis results, this paper applies multicategorical least squares support vector machine to the calculation process for distributed PV limit capacity. The least squares support vector machine (SVM) is used to obtain the variogram of distributed PV limit capacity to operate local variance on pixels, while the vectors in each direction are analyzed in the distributed PV limit capacity calculation, and then the obtained eigenvalues are combined with least squares support vectors to realize the analysis of distributed PV limit capacity calculation by combining the vectors as distributed PV limit capacity. Finally, the case study results indicate that the IEEE-33 node system can effectively improve the corresponding distributed PV limit capacity during stable system operation based on distribution network. Distributed PV limit capacity can be calculated more accurately by using the proposed algorithm than the traditional method.