Electric-thermal energy storage configuration of regional integrated energy system based on wind power prediction

In order to solve the problem of integrated energy/thermal energy storage configuration, a regional integrated energy system power/thermal energy storage configuration method based on wind power prediction is proposed. First of all, a dynamic neural network prediction model of wind power prediction is constructed to effectively predict the power of wind farms in regional integrated energy systems. Then, the behavior of charging and releasing energy from regional integrated energy system is analyzed, the connection between power storage, heat storage and regional wind farm power is established, and the electric coupling relationship is considered to form a joint optimization configuration model of electric/thermal energy storage. Finally, select the actual data of a certain place, set up three scenarios, the prediction results are substituted into the optimization model to calculate the power storage and heat storage configuration, and the comparison verifies that the wind power prediction under this method has a good effect, which is conducive to the optimal allocation of energy storage resources and reduce costs.