Multi-Objective Differential Evolution Algorithm For Reactive Power Optimization

The voltage level to reactive power optimization dispatch and control problem is incorporated. A model of reactive power optimization is established based on multi-objective differential evolution,which takes into account of loss minimization,voltage level best target. Considering the drawbacks of traditional differential evolution( DE) algorithm such as premature and slow search speed,a strategy of self-adapting parameter improved differential evolution algorithm was proposed and first applied in reactive power optimization problem. By adjusting the mutation F and crossover CR during the evolution process,the diversity of population is increased and the global search area is expanded,which avoids algorithm into a local optimal solution,at the same time,the convergence speed is accelerated later. The simulations are carried out on IEEE-14 bus system,and the results show the validity of the proposed algorithm.