Reactive Power Optimization Based on Genetic Algorithms in Electrical Power System

A approach to optimal reactive power based on genetic algorithm was presented. Algorithm’s method of coding, genetic operations and termination conditions was explained in detail and a power system reactive power optimization model based on genetic algorithm was setup. Via the use of genetic algorithms the approach can avoid the local optimal solutions in conventional mathematical optimization problem. The result from the computer calculation example shows that the genetic algorithms can not only converge in the global optimal solution but also improve voltage quality as well as reduce network loses. The approach has been tested in one local reactive power optimization system, and good effects are obtained.