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A hybrid algorithm based on BFA and PSO for optimal reactive power problem

The reactive power optimization of power system, not only effectively reduces the loss of active power and improves the voltage quality, but also improves the stability of the system. In order to improve the convergent velocity and accuracy of particle swarm algorithm in power system circumstance, a hybrid algorithm named bacteria forging particle swarm algorithm (BFPSO) is proposed. It merges the velocity and position update strategy of particle swarm algorithm (PSO), and the reproduction and dispersal strategy of hybrid bacteria forging algorithm (BFA). Finally, the improved algorithm is applied to the reactive power optimization tested by the IEEE-30 system, which is proved feasible and effective.