This invention relates to a
smart grid communication optimization method based on HPLC and HRF dual-mode communication, characterized by the following steps: S1: Acquire and preprocess grid communication data; S2: Based on the preprocessed
smart grid communication data, automatically extract dual-channel time-
frequency domain features using a feature extractor based on a deep neural network, and dynamically weight the feature importance of different
modes through an attention mechanism to obtain a fused unified channel state matrix (CSM); S3: Construct a routing strategy model based on
reinforcement learning, and obtain the optimal path decision based on the CSM matrix,
grid network topology, and service priority labels; S4: Based on the path obtained from the optimal path decision, adopt adaptive modulation and coding to obtain the optimal modulation and coding scheme and dynamically adapted channel conditions; S5: Perform communication based on the optimal modulation and coding scheme and dynamically adapted channel conditions. This invention significantly improves the communication state awareness capability in complex scenarios.