In order to meet the challenges in power grid operation,this paper proposes an optimization method of power grid operation control strategy based on deep learning.Firstly,the basic principle of deep learning technology and its application in power grid control are introduced.Secondly,the challenges faced by power grid operation control are analyzed.Finally,corresponding deep learning optimization strategies are put forward for voltage control,frequency control and load forecasting in power grid.
关键词
深度学习/电网运行控制/电压控制/频率控制/负荷预测
Key words
deep learning/power grid operation control/voltage control/frequency control/load forecasting