Evaluation method for new energy acceptance capacity of power grid in context of energy aggregation
Due to the large-scale access of new energy such as wind power and photovoltaic to the power grid,a series of problems have been caused.Therefore,the issue of how to reasonably assess the acceptance capacity of the power grid for new energy needs to be ad-dressed.This paper establishes a new energy acceptance capacity evaluation model for power grids in the context of multiple new energy aggregations.Firstly,the indicators of the grid's ability to accommodate different aggregated new energy sources were reasonably select-ed,and other indicators with influencing factors were selected.Then,the selected indicators were normalized.Secondly,this paper selects a autoencoder as a dimensionality reduction tool to reduce the dimensions of the data to deal with the coupling between various indica-tors,and inputs the dimensionality reduced data into a naive Bayesian classification model for training to obtain an effective data classifi-cation model,and conducts a cross test of the classification model.Finally,a numerical example was used to verify the reliability of the proposed method,and the results show that the method can effectively evaluate the new energy acceptance capacity of the power grid.Compared with other methods,the method proposed in this paper has certain accuracy,and has certain guiding significance and refer-ence value for how to solve the problem of new energy consumption in the power grid.
new energyacceptance abilityautoencodernaive bayes
万方数据
维普
