Multi-task Priority Decoupling Method for Issuing Instructions in Power Dispatching Network Based on Bayesian Discrete Optimization
The increasing load rate and utilization rate of power transmission lines increase the difficulty of power system opera-tion and dispatching.In order to rationally plan dispatching tasks and ensure the safety of power network operation,a multi-task priority decoupling method based on Bayesian discrete optimization is studied.Power dispatching model is established,dis-patching optimization objectives and constraints are set.The power load is predicted based on Bayesian discrete optimization to provide basis for task priority judgment.The complex external system is transformed into a simple equivalent system by the dy-namic simulation of power system with block decoupling.By decoupling multi-task priority of power dispatching,dividing prior-ity and receiving operation order,the decoupling of power dispatching is completed.The simulation curves before and after de-coupling of the proposed model are consistent with the experimental analysis,and the simulation results can reflect the dynamic behavior of the power system truly and accurately,and the adjustment effect of the active power of the overload line is obvious,and the overlimit problem has been greatly improved.