Conventional distributed power allocation optimization methods focus mainly on network loss cost optimization and are inadequate in considering the elastic demand of distribution networks,which affects the economy of source plan-ning optimization.Therefore the present study tried to design a source-loade-storage coordination-considered method of op-timizing the planning of distributed renewable generations.The main work entailed the construction of uncertainty sets of source,load and storage of distributed generations,and the determination of source-load-storage unbalanced power ac-cording to the difference between output power and load power of the renewable generation to ensure the subsequent plan-ning optimization utility.Based on source-load-storage coordination,the optimization model was established and the deci-sion variables of distributed generations were adjusted to cope with source-load-storage uncertainty and meet the require-ment of source planning.The design was expected to optimize the maximum charge and discharge power,compensate for the power imbalance of renewable generations,and realize economic operation of power supply.The comparison experi-ment verifies the effectiveness and potential practicability of the proposed method.
source-load-storage coordinationelastic distribution networkdistributedrenewable energy sourcepower source planningoptimization method