The simulated tree growth algorithm is applied to solve the reactive power optimization problem

reactive power optimization;  simulated tree growth algorithm;  Variable step size;  Optimal solution retention policy

The simulated tree growth algorithm is applied to the reactive power optimization of the sub-power system, which is convenient for the processing of the objective function and constraints, and does not need to give many optimization parameters. A mathematical model of reactive power optimization is established, and the application of variable step size and optimal solution retention strategy improves the global optimization ability and optimization speed of the algorithm. The computational analysis results of IEEE 30-node system show that the simulated tree growth algorithm has strong convergence stability, which is a feasible and effective method to deal with reactive power optimization problems.