Data management and report generation in power grid industry have extremely high requirements for accuracy and real-time. Traditional technology is not only time-consuming but also error-prone when dealing with a large amount of data. With its automation and flexibility, the low-code development platform provides new possibilities for power grid report generation. This paper introduces the low-code platform, focusing on the functions and characteristics of the low-code development platform. Secondly, functional modules are designed, including data collection, business process management, task management, automatic scheduling and asset management. Then the K-Means clustering algorithm is combined to improve the efficiency and accuracy of data aggregation. Finally, the automation of report generation process is realized. Through the experimental test, the report generation cycle of low code development is significantly lower than that of traditional technology, the average aggregation time is only 484.5 ms, and the error rate is between 0.031 and 0.069%, which is much lower than that of traditional technology. These data show that low-code development has higher accuracy and efficiency in the process of data aggregation and report generation.