Design of Decision Support Platform for Optimizing Power Supply for Large Outward Transmission Bases

In response to the shortcomings of existing power optimization decision support platforms in functional design, model integration, and other aspects, this article aims to design a decision support platform for power optimization in large-scale external transmission bases to improve the quality and efficiency of power optimization decisions. The platform adopts a microservice architecture—data layer, model layer, service layer, and presentation layer—to achieve data management, model computation, and result display. By integrating multiple power optimization models and open-source solvers, the platform quickly analyzes data and provides accurate power optimization solutions. The experimental results show that the decision accuracy of the platform has increased from 85.1–94.9% to 95%–99.9% after implementation, and the model solving time has decreased from 680 ms to 950 ms to 203 ms to 518 ms, significantly improving the scientificity and accuracy of power optimization, helping to improve the stability and reliability of the power system, and promoting the rational allocation and use of energy.