电力物联网下双向长短时记忆的线损预测计算策略研究

Research on Line Loss Prediction Calculation Strategy for Bidirectional Long Short Term Memory in the Power Internet of Things

目前,光、风等可再生能源发电和柔性负荷并网方式导致电力物联网的运行调控难度加大,使输电线的损害逐渐增加。针对这种情况,提出了一种基于电力物联网下双向长短时记忆的线损预测计算方法,为电力运行调控提供重要依据。

At present,under the renewable energy generation and flexible load grid connection methods,the difficulty of regulating the operation of the Power Internet of Things has increased,leading to a gradual increase in damage to transmission lines.Based on this situation,a line loss prediction calculation method based on bidirectional long-term and short-term memory in the power physical network was proposed,providing an important basis for power operation regulation.