Research and Application of Automatic Elastic Extension Architecture for Power Flow Calculation in Power System Based on Spring Cloud

With the rapid development of Internet and cloud computing, people rely more and more on data information services. The disadvantages of the unified single architecture software system are becoming increasingly prominent, which severely restricts the rapid upgrade and delivery of soft-ware. Traditional software gradually has problems such as low computational performance and limited algorithm scalability. Power flow calculation in power system is one of the important methods to analyze power quality. This method has the characteristics of large amount of data and large amount of calculation. The traditional calculation method is increasingly difficult to meet its calculation requirements. Based on the micro-service architecture implemented by Spring Cloud framework, this paper analyzes the automatic adjustment of power flow calculation in power system. In the process of adjustment, the mathematical model of power flow calculation should be established first, and the guiding principles of optimal selection of adjustment targets and control variables are given. Case studies show that the method fully considers the interaction and influence between various targets and control variables, effectively ensures the development of the adjustment scheme to-wards target improvement, and achieves better adjustment effect.