Ultra-short-term Wind Power Forecasting Model of IWOA-BiGRU Based on Attention Mechanism
Ultra-short-term wind power forecasting plays an important role in power system dispatch and large-scale wind power grid connection.In order to obtain accurate and reliable wind power prediction results,we proposed an ul-tra-short-term wind power forecasting method based on IWOA-AT-BiGRU according to the nonlinearity and timing char-acteristics of wind power data.Firstly,we proposed an improved whale optimization algorithm(IWOA)to optimize the hyperparameters of the wind power forecasting model,accelerate the convergence of the model,and improve the accura-cy.Then,we added an attention mechanism to the BiGRU,which is used to enhance the influence of important infor-mation on wind power.And BiGRU considers the forward and negative information of the data at the same time to fully explore the timing characteristics of the data.Finally,the experiment is carried out through the measured data of a wind farm,the results show that the forecasting accuracy of the proposed method is higher than that of other comparable mod-els and has good forecasting performance.
wind powerultra-short-term forecastingattention mechanismimproved whale optimization algorithmbidirectional gated recurrent unit
万方数据
维普
