关键词:  , 电力系统无功优化, 多目标差分进化算法, 自适应参数

Abstract:

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．

Key words: power system reactive power optimization, multi-objective differential evolution algorithm, self-adapting parameter