Abstract: Specified on the optimal planning problem in the distributed photovoltaic source accessed distribution network,an innovative photovoltaic source grid connected planning method is proposed with consideration both on economy and safety. Taking the maximum access capacity,the lowest investment,operation and maintenance cost,and the smallest active power loss of the network as the economic planning objective,and taking the voltage deviation,voltage fluctuation and harmonic quality as planning constraints,a multi-objective constrained optimization model of the photovoltaic grid-connected is established. A multi-population genetic algorithm is used to solve the planning model. The optimization search is fulfilled by using multiple populations with different control parameters.Meanwhile,the fitness function calibration and adaptive algorithm are introduced in the operation of a single population,thereby,overcoming the defects of the immature convergence of the algorithm. The proposed method is implemented on the IEEE 33 node distribution network model. Results conform the validity of the proposed model and the method. The planning schemes under different loads,access schemes and power factors are compared and researched. General influencing rule of different factors on the results is summarized.