Research on Distributed Resource Aggregation Technology Based on Hierarchical Agglomerative Clustering Analysis

Abstract

Abstract With the rapid development of distributed resources such as wind turbines and photovoltaics in the power system, intermittency and volatility will directly impact the security and stability of the power grid and power transactions. This paper combines the principal component analysis method and hierarchical agglomerative clustering algorithm to analyze the output characteristics of distributed resources. According to the Davies-Bouldin index to evaluate the clustering results, the typical characteristic output curves of distributed resources are obtained. Then the typical curve is used to represent the distributed resources for aggregation. Based on daily peak-valley difference and power fluctuation index, the comprehensive results are judged and the optimal solution is selected. Finally, an example with eight distributed resources is given to verify the effectiveness of the proposed method.