Adjustable Resource Aggregation Algorithm Based on Minkowski Sum

In response to the cluster management requirements of massive flexible and adjustable resources, a method for calculating the adjustable capacity parameters of flexible and adjustable resources is proposed, providing reference for flexible and adjustable resource planning. Firstly, the article establishes operational models for various flexible adjustable resources and abstractly classifies them into generalized generator models and generalized energy storage models through analysis. Then, using the parameters of the generalized generator model and the generalized energy storage model as eigenvalues, a clustering algorithm is used to cluster the massive flexible adjustable resources. And further, the Minkowski and constraint space of the adjustable resource cluster are calculated using the approximate integration algorithm of the constraint space, and based on this, the adjustable capacity parameters of the adjustable resources are calculated. Finally, the effectiveness of the proposed method was verified through simulation.