Reactive Power Optimization Of Genetic Algorithm Based On Sensitivity Analysis

Aiming at the problems of traditional genetic algorithm, such as easy to fall into local optimal solution and low computational efficiency, the genetic algorithm is improved with sensitivity analysis. The proposed method combined with sensitivity analysis to cross and mutation operation, which can quickly find the solution to meet the requirements. The proposed method was applied to a regional power grid to verify the effectiveness.