Application of DPCA-POA-RF-Informer in Multi-scenario Multi-step Prediction of Photovoltaic Power
In view of the fluctuation and uncertainty influence of photovoltaic power generation on the stability of power system,the paper makes a study on the multi-step forecasting of multi-scenario photovoltaic power.Firstly,the density peak algorithm is used to accurately classify weather conditions according to solar radiation,temperature,humidity and other meteorological data.Then in order to make the model show better performance,the pelican algorithm is used to optimize the factor screening characteristic variables of random forest.The model uses the pelican algorithm to optimize the number and depth parameters of decision tree for the random forest,enhancing the effectiveness of the factor screening.Finally,the Informer model is used to implement the multi-step forecasting of the photovoltaic power in different weather conditions.The result verifies the validity and accuracy of the proposed model.
photovoltaic power predictionInformerpelican optimization algorithmrandom forestmulti-step forecasting
NETL
NSTL
万方数据
维普
