基 于 双 向 安 德 森 加 速 分 解 协 调 算 法 的 输 配 协 同 无 功 优 化

The increasing penetration rate of renewable energy in new power systems has led to a complex and ever-changing coordinated operation environment for transmission and distribution networks, posing higher challenges to the convergence of transmission and distribution coordinated optimization algorithms. In view of this, based on the generalized master-slave splitting method (GMSSM), the transmission and distribution coordinated reactive power optimization problem is decomposed into parallel optimization problems of the transmission network and multiple distribution networks. To improve the computational efficiency of the GMSSM, a bidirectional Anderson acceleration strategy is proposed based on the interaction of multiple information such as power and voltage, as well as historical information correction. On this basis, a transmission and distribution coordinated reactive power optimization method combining primal dual interior point method, heuristic algorithm, and auxiliary function is proposed to achieve the coordinated coordination and optimization control of multiple types of flexible resources in the transmission and distribution networks. The simulation results of the case show that the proposed method can effectively improve the convergence performance of the master-slave splitting method boundary, and has better application value in the scenarios of transmission and distribution coordinated reactive power optimization with large-scale distributed generators.