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Multi-Objective Differential Evolution Algorithm For Reactive Power Optimization
MA Li-xin,Sun Jin,PENG Hua-kun
Control Engineering of China    2013, 20 (5): 953-956.  
Abstract4055)            Save

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.

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