Abstract: To achieve the effectiveness of power supply with low pollution and low cost in island area and improve the absorptive and utilization capacity of renewable energy, this paper establishes the multi-objective distributed power planning model, which includes mainly three aspects of the cost of investment, system loss and system stabilitybased on the characteristics of island distributed generation planning. Based on the concept ofPareto optimal solution, we adopt Godlike algorithm to solve the above multi-objective, multi-constrained and nonlinear optimization problem. Finally, we apply the proposed model and its solution algorithm to the practical planning problem of an island distributed generation system in South China. The simulation results showthat the Godlike calculation result is far superior to the single genetic algorithm, simulated annealing algorithm, differential evolution algorithm and particle swarm optimization algorithm, which can effectively avoid the problem of falling into local optimum and premature maturation of single algorithm in solving distributed generation planning problem and ensure the global Pareto optimal solutions.

Key words: distributed generation planning, Godlike algorithm, Pareto optimal solution, global optimum