Research on Dispatching of Delivery System Considering Channel Curve Optimization

We consider the channel curve optimization problem and propose a delivery system scheduling model considering curve optimization. Firstly, considering factors such as channel power, stratification, and adjustment frequency, an optimization model for the delivery channel curve is proposed. Secondly, in the delivery system, taking into account the unpredictability of renewable energy generation, optimization is performed on various power sources and delivery curves. Finally, using opportunity constraints to manage the influence of renewable energy output, the distribution-robust optimization method, relying on Kullback-Leibler divergence, converts probabilistic constraints into deterministic constraints, thereby converting the problem into a mixed-integer linear programming problem that is easy to solve. Case analysis is conducted using a certain delivery system as an example, and the results indicate that the proposed delivery curve optimization model, combined with the output of the power source at the sending end and the demand for load at the receiving end, can optimize the delivery curve, validating the effectiveness of the model.