分布式光伏大规模接入电网导致数据采集量激增，给业务数据通信与处理带来巨大压力。为此提出了面向分布式光伏信息聚合的数据压缩接入控制方法。在构建分布式光伏数据压缩与信息聚合框架基础上考虑分布式光伏信息聚合业务特性，将数据压缩接入控制问题转化为最大化信息聚合时延增益问题。针对传输时延降低与压缩时延增加的矛盾，以及数据压缩比选择和网关选择耦合等挑战，提出基于自适应差分遗传博弈的分布式光伏信息聚合算法，考虑分布式光伏信息聚合时延与可靠性的双边博弈关系，保障时延增益最大化与长时可靠性约束需求。仿真结果表明，相较于对比算法，所提算法的时延增益分别提高了33.81 %和16.05 %，传输可靠性分别提高了23.61 %和11.25 %。

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.