Research on System Capacity Requirements of Integrated Source Grid Load Storage System Based on K-means Clustering

The source grid load storage integration system fully explores the flexibility and regulation ability of the system, achieving coordinated interaction between various links of source grid, load and storage. However, in integrated system, the fluctuation of new energy output requires the system to provide reserve capacity. Firstly, the paper conducts clustering on wind and solar power output based on the K-means algorithm, selects typical scenarios, and the silhouette coefficient is used to evaluate the clustering effect and determine the optimal number of clusters. Based on the scenario clustering results, a source grid load storage integration system reserve capacity optimization model is established. A Monte Carlo genetic algorithm is used to solve the established model, and the feasibility and effectiveness of the method are verified through example.