A Decision-making Optimization Method for Network Reconfiguration of Power System With New Energy Considering the Synergistic Support of Source-grid

Facing the complex and changeable international situation and the increasing number of extreme events, it is of great significance to study the system recovery scheme under the high proportion of new energy access to improve the new power system security defense system. In this context, a decision-making optimization method for grid reconfiguration of power system with new energy is proposed. Firstly, the uncertainty of new energy output is analyzed and modeled based on the kernel density method. Secondly, considering the requirements of new energy grid connection and operation on the strength of the grid, the linearized model of multiple renewable energy stations short-circuit ratio constraint is realized. On this basis, a grid reconfiguration optimization model that can coordinate new energy, energy storage, conventional units and transmission network restoration is established and a bi-level optimization strategy is proposed to improve the efficiency of model solution. The example results based on the New England 10-machine 39-bus system verify the effectiveness of the proposed method.