基于深度学习的电网运行控制策略优化研究

Optimization of Power Grid Operation Control Strategy Based on Deep Learning

为应对电网运行中的挑战,文章提出基于深度学习的电网运行控制策略优化方法。首先介绍深度学习技术的基本原理及其在电网控制中的应用,其次分析电网运行控制面临的挑战,最后针对电网中电压控制、频率控制以及负荷预测等问题,提出相应的深度学习优化策略。

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.