The massive integration of distributed photovoltaics into power grid has caused rapid growth of data collection volume, which has put enormous pressure on services data communication and processing. This paper proposes a data compression access control method for distributed photovoltaic information aggregation. On the basis of constructing a distributed photovoltaic data compression and information aggregation framework, the characteristics of distributed photovoltaic information aggregation services are considered and the data compression access control problem is converted to maximize the information aggregation delay gain. In view of the contradiction between the reduction of transmission delay and the increase of compression delay, as well as the challenges such as the coupling between data compression ratio selection and gateway selection, a distributed photovoltaic information aggregation algorithm is proposed based on adaptive differential genetic game. The proposed algorithm considers the bilateral game relationship between distributed photovoltaic information aggregation delay and reliability, to ensure the maximization of delay gain and long-term reliability constraint guarantee requirements. Simulation results show that compared to the comparison algorithm, the proposed algorithm improves delay gain performance by 33.81% and 16.05, and transmission reliability by 23.61% and 11.25% respectively.