Large-scale wind power grid-integration reactive voltage optimizing method based on improved artificial fish swarm hybrid optimization algorithm

The invention discloses a large-scale wind power grid-integration reactive voltage optimizing method based on an improved artificial fish swarm hybrid optimization algorithm. The method comprises the following steps: scheduling and selecting an automatic control system for a large-scale wind power base and reading the original data information of a power grid on the basis of an energy management system in the automatic control system; obtaining effective data for load flow calculation according to the obtained original data information and forming an effective data set of the whole power grid; screening the effective data set on the basis of a pre-confirmed optimizing mode, thereby obtaining a calculation number set based on the data of the whole power grid; calling for the improved artificial fish swarm hybrid optimization algorithm and performing reactive optimization on the wind power grid-integration reactive voltage on the basis of the screened calculation number set, thereby obtaining a reactive optimization result. According to the method provided by the invention, the defects of the prior art of large data throughput, poor convergence, inferior stability and the like, are overcome, so that the advantages of small data throughput, excellent convergence and high stability are achieved.