A Bi-level Planning Method of Distributed Renewable Energy Based on Cluster Division

Aiming at the problem of optimal planning of large-scale distributed renewable energy resources and loads, a distributed renewable energy bi-level planning method based on cluster division was proposed to maximize the overall benefits of distributed renewable energy clusters. The upper layer takes the energy exchange between clusters and the optimal stability and reliability of the system as the guiding principle, and establishes a comprehensive performance index with cluster resemblance and active power balance as the core to obtain the optimal cluster division result. The lower layer takes economy and reliability as the goal. Each cluster is regarded as a new planning unit, and the integrated planning method is used for capacity allocation and grid design, and the optimization results are fed back to the upper cluster division. Cross iteration between two layers forms a closed-loop planning and design method for distributed renewable energy cluster planning. The example shows that the proposed method effectively reduces the energy storage capacity configuration of distributed renewable energy cluster and improves its economy and reliability.