Study on algorithm of reactive power optimization of power distribution network with wind generator

摘要

The random output of doubly fed induction generator is processed by the method of scene analysis, and on this basis, a mathematical model of reactive power optimization based on the minimum net loss is established. For reactive power optimization based on particle swarm optimization algorithm, the algorithm is prone to existing “premature convergence” problem, which leads to poor optimization results, an improved particle swarm optimization algorithm is proposed. The improved particle swarm algorithm is applied to optimize Rastrigin function and the 33 node distribution system with doubly fed induction wind generator, and the effect is compared with the existing algorithms. The results show that the improved particle swarm optimization algorithm has better convergence, and the effect of reducing the loss of the network is achieved.