摘要
风力发电成为极具潜力的代表性新能源之一,但风力发电波动性和间歇性明显,不利于全局范围内的电力调度。对BP神经网络算法进行适当优化,建立了一种风电场短期风速预测模型,旨在对后续相关研究提供有价值的参考。
Wind power has become one of the great potential representative new energy. But the fluctuations and intermittent of wind power are obvious, which is not conducive to power dispatch in the global scope. Proper optimization of BP neural network algorithm was made and short-term wind speed forecasting model used in wind farms was established in this paper, which is designed to provide valuable reference for future studies.
出处
《能源与节能》
2015年第6期185-188,共4页
Energy and Energy Conservation
关键词
BP神经网络
风功率
预测
BP neural network
wind power
forecast
