The invention relates to an intelligent
power grid communication optimization method based on HPLC and HRF dual-mode communication, and the method is characterized in that the method comprises the following steps: S1, obtaining
power grid communication data, and carrying out the preprocessing of the data; s2, according to the preprocessed intelligent
power grid communication data, a feature extractor based on a deep neural network automatically extracts two-channel time-
frequency domain features, feature importance of different
modes is dynamically weighted through an attention mechanism, and a unified channel state matrix CSM after fusion is obtained; s3, constructing a routing strategy model based on
reinforcement learning, and obtaining an optimal path decision according to the CSM matrix, the power
grid network topology and the service priority
label; s4, according to the path obtained by the optimal path decision, adaptive
modulation coding is adopted to obtain an optimal
modulation coding scheme and a dynamic adaptive channel condition; and S5, performing communication according to the optimal
modulation coding scheme and the dynamic adaptive channel condition. According to the method, the communication state sensing capability in a complex scene is remarkably improved.