Optimization of Power Grid Operation Control Strategy Based on Deep Learning
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.
deep learningpower grid operation controlvoltage controlfrequency controlload forecasting
万方数据
维普
