Abstract: It is of great significance for the reactive power optimization algorithm to improve the security and stability of the power system. To avoid the disadvantages of the traditional particle swarm optimization algorithm, prematurity and local convergence,  while optimizing largescale, strong nonlinear reactive power, the logistic chaotic map, for its advanced searching ability, was applied in the optimization variable process of this algorithm. Besides, a chaotic sequence combining Chebyshev chaotic map with logistic chaotic map was applied to obtain a uniform initial value so as to improve the global optimization ability of the algorithm. As to the problem of inertia weight, the algorithm gave a dynamic inertia weight, based on population velocity. The results show that it performs better in global searching ability and efficiency.

Key words: chaotic particle swarm optimization algorithm, combined chaotic sequence, dynamic inertia weight, reactive power optimization