基于DBO-SVM的风力发电功率短期预测

Short-Term Prediction of Wind Power Generation Power Based on DBO-SVM

大规模风力发电随机性较大,接入电网时造成负荷波动以及系统稳定性降低。对此提出基于蜣螂优化算法优化向量机模型的风力发电功率短期预测模型。利用DBO-SVM模型根据风向,温度,气压和湿度等因素完成对于风力发电功率的短期预测。

Large-scale wind power generation is characterized by high stochasticity,which causes load fluctuation and system stability degradation when connecting to the power grid.A short-term prediction model for wind power generation is proposed based on the dung beetle optimization algorithm(DBO)and vector machine model(SVM).The DBO-SVM model is used to predict the short-term wind power according to the wind direction,temperature,air pressure and humidity.