A Hybrid Optimization Method for Reactive Power Optimization with Discrete Variables

A hybrid optimization method is proposed to resolve the issue of reactive power optimization with discrete variables. The method adopts both the genetic and traditional optimization algorithms, and the genetic algorithm is for global search to the population while the traditional algorithm is for local deep search in favour of the genegic method, so that the advantages of both the algorithms are carried forward, adept at dealing with discrete variables by the genetic as well as in high speed and good value-stability by the traditional. The model of hybrid optimization method is simple and normal, and its practicability and effectiveness are validated by case studies.