基于CNN-LSTM组合模型光伏预测和负荷预测算法的研究与应用OA
Research and Application of PV Forecasting and Load Forecasting Algorithm Based on CNN-LSTM Combination Model
油田企业电网中光伏装机容量快速增长,但由于光伏发电受太阳辐照度等气象因素影响,其间歇性、波动性给油田企业电网的安全稳定运行造成严重影响.同时,以往的单一模型预测光伏发电有一定的局限性.结合卷积神经网络(CNN)和长短期记忆网络(LSTM)的特点,提出一种基于 CNN-LSTM 的组合预测模型,并在某光伏电站进行了仿真实验.实验结果表明,CNN-LSTM模型对光伏发电功率预测的均方根误差与平均绝对误差分别为 0.212 1 与 0.129 0,对负…查看全部>>
The installed photovoltaic capacity in the power grid of oilfield enterprises is growing rapidly,but due to the influence of solar irradiance and other meteorological factors,the intermittency and volatility of photovoltaic power generation have a serious impact on the safe and stable operation of the power grid of oilfield enterprises.At the same time,the previous single model prediction of photovoltaic power genera-tion has certain limitations.Combining th…查看全部>>
邹兵
中石化胜利油田分公司生产运行管理中心,山东东营 257000
动力与电气工程
光伏发电功率负荷预测模型安全
photovoltaic power generationpowerload forecastingmodelsecure
《安全、健康和环境》 2024 (6)
14-19,6
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