The existing distributed power source location and capacity determination scheme has a single optimization objective

which is difficult to give consideration to the economy of distributed power source access and the influence on the reliability of distribution network.This paper presents a multi-objects method for sitting and sizing the distributed generations in considering the reliability of power supply. Based on the island partitioning of the distribution network integrated with distributed generation

the reliability indexes of the distribution network are calculated using the dual sampling sequential Monte Carlo simulation method. Combined with the economic index such as the distributed generation operation cost and the distribution network power loss

a multi-objective distributed generations sitting and sizing optimization model is established and solved by the particle swarm optimization and non dominated genetic sequencing co-evolutionary algorithm（CPSO-NSGA）. The correctness and effectiveness of the proposed method are verified through an example applied in the IEEE33 nodes standard system.