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An Improved Particle Swarm Optimization (IPSO) algorithm applied to the Reactive Power and Voltage Control of power system (RPVC)was proposed followed by the Basic Particle Swarm Optimization(BPSO). The algorithm changed the stochastic initialization into uniform initialization and adopted a principle of particle searching by itself. Several particles in feasible solutions were used to lead swarm's motion and update. At the same time, the algorithm used chaotic mutation factor to change positions of the particles which plunged into the local optimization. Simulation results of IEEE 30-bus power system showed that the IPSO is more efficient than BPSO or some other optimization methods.