Abstract: With the construction of new power systems with new energy as the main body, the large-scale distributed photovoltaic (PV) access to the distribution network has caused serious problems such as the power flow foldback, the over-limit voltage, and so on. Based on the game theory and the NSGA-Ⅱ(non dominated sorting genetic algorithm Ⅱ), a two-staged generation-grid-load-energy storage interactive optimization operation strategy to promote the distributed PV consumption is proposed. Firstly, the dynamic loadability of the distribution network (DLDN) is defined to endow the demand response resources in the distribution network with time and space characteristics, to provide a "bridge" for the distribution system to promote the two-staged optimization of the distributed PV local consumption power scheduling and the active/reactive power coordination control, and also to give the solution method of the DLDN. Secondly, a two-staged interactive optimization operation framework of the generation-grid-load-energy storage system is proposed. In the first stage, an electricity trading strategy is formulated based on the game theory, which is to promote the local consumption of the distributed PV and balance the income of supply and demand. In the second stage, the power trading strategy in the first stage is tracked through the active/reactive power coordination control of the distribution system to optimize the operation state of the distribution network. Finally, an example analysis shows that the proposed method organically unifies the distribution system to promote the local consumption of the distributed PV power dispatch and the active/reactive power coordination control, achieving the multi-party win-win status through the consumption of PV power generation.