The reactive power optimal planning of power system is a complicated nonlinear mixed planning problem with multi-objectives. The optimizing computation using conventional linear and nonlinear methods has a disadvantage, i.e. the dispersed variable approximation, which makes it can't correspond to the reality of reactive power planning. On the contrast, the genetic algorithm particularly suits for the mixed optimization problem with multi-objectives. The genetic algorithm has stable convergence, and is an ad...
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