METHOD FOR OPTIMIZING REACTIVE VOLTAGE OF LARGE-SCALE WIND POWER INTEGRATION BY IMPROVING HYBRID OPTIMIZATION ALGORITHM OF ARTIFICIAL FISH SWARM

摘要

Disclosed is a large-scale wind power grid-integration reactive voltage optimization method based on an improved artificial fish swarm hybrid optimization algorithm, comprising: scheduling an automation management and control system of a selected large-scale wind power base, and reading, based on an energy management system in the automation management and control system, original data information of the power grid; obtaining, based on the obtained original data information, valid data for load flow calculation, and form a valid data set of the whole grid; screening the obtained valid data based on a predetermined optimization manner, to obtain a calculation number set based on data of the whole grid; and invoking an improved artificial fish swarm hybrid optimization algorithm, and performing, based on the calculation number set obtained through screening, reactive optimization processing on the wind power grid-integration reactive voltage to obtain a reactive optimization processing result. The method of the present invention can overcome defects of a large amount of data processing, poor convergence and inferior stability, so as to achieve advantages of a small amount of data processing, good convergence and stability.