首页|基于DBO-SVM的风力发电功率短期预测

基于DBO-SVM的风力发电功率短期预测

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

Dung Beetle Optimization Algorithmvector machinewind power generation

徐思文、李卓函、韩滟赢

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辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛 125000

蜣螂优化算法 向量机 风力发电

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(9)