According to the optimal management of the distributed generation,a improved muiti-objective evolutionary algorithm based on decomposition is proposed to optimal the multi-objective mathematical model with constraints of wind-solar hybrid system,which decomposes the multi-objective optimization problem of wind-solar hybrid system into a number of scalar optimization subproblems and optimizes them simultaneously,and then obtain system’s Pareto front and optimized scheme of the system according to the actual demand.Finally a control and management strategy of distributed sources that are controllable in system is drawn up to improve the efficiency and?economy of system operation.A case study was presented to verify the feasibility and effectiveness of the improved optimal method.
