Research on Distributed Trading Energy Optimal Scheduling Method Based on Quadratic Programming Algorithm

Traditional centralized scheduling methods are difficult to meet the complexity and real-time requirements of distributed energy systems, resulting in low efficiency of energy scheduling, serious waste of resources and poor system stability. To deal with this challenge, this paper proposes a distributed trading energy optimal scheduling method based on quadratic programming algorithm from several aspects, such as the acquisition and processing of trading energy signals, and the definition of the objective function of the quadratic programming problem. The test experiments show that the distributed trading energy optimization scheduling scheme based on quadratic programming algorithm is superior to the traditional centralized scheduling method in all test scenarios, and can provide more optimized energy allocation.