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光伏发电具有较强的随机性和不确定性,在进行大规模并网的过程中,为了降低其对电网产生的影响,有必要对其发电功率进行预测,从而采取应对措施。对基于BP神经网络的光伏发电系统输出功率预测进行了讨论,采用历史发电数据对神经网络预测模型进行训练,从而对未来的发电功率进行预测,该方法相对于光伏发电的间接预测方法具有更高的准确度,希望能够为相关工作提供一定的参考。
Photovoltaic power generation has strong randomness and uncertainty. In the process of large-scale grid integration, in order to reduce its impact on the power grid, it is necessary to predict the power generation and take countermeasures. The forecasting of output power of photovoltaic power generation system based on BP neural network is discussed. The historical power generation data is used to train the neural network prediction model to predict the future generation power. This method has a higher power output than the indirect prediction of photovoltaic power generation The accuracy, hoping to provide some reference for the relevant work.