Improved genetic algorithm and its application in power dispatch of wind turbines

The local search capability of classical genetic algorithm is weak, and hardly deals with constraints. To solve these problems, the adaptive crossover probability and mutation probability are developed, and a new genetic algorithm with quasi-simplex technique is proposed in this paper. An active power and reactive power dispatch model of wind farm turbine is established, and a better scheduling scheme can be worked out by using improved genetic algorithm. This scheduling scheme obtains less copper loss and shows that the improved genetic algorithm has a good application value.