Short-Term Photovoltaic Power Prediction Based on GRNN
In order to improve the accuracy of output power prediction in the operation of photovoltaic power plants,further enhance the intelligence of photovoltaic power plants,and reduce the operating cost of photovoltaic power plants,an output power prediction model based on GRNN algorithm is established.The model uses the nonlinear mapping ability of GRNN neural network to predict the short-term photovo-ltaic output power,which can be closer to the actual output power value than BP neural network predic-tion algorithm under the same conditions.The model takes advantage of the simple structure of GRNN algorithm,and achieves high prediction accuracy in the experiment,which is also helpful to improve the stability of power grid operation.
Photovoltaic power plantsOutput powerBP neural networkGRNN algorithm
万方数据
维普
