1.State Key Laboratory of Power Grid Safety（China Electric Power Research Institute）； 2.Yancheng Power Supply Branch， State Grid Jiangsu Electric Power Co.， Ltd.； 3.State Grid Jiangsu Electric Power Co.， Ltd.；4.School of Computer Science （National Demonstrative Software College）， Beijing University of Posts and Telecommunications
Abstract： The dynamic aggregation of commercial load clusters is crucial for enhancing the flexibility of power grid dispatch, optimizing demand-side management, and promoting the integration of renewable energy. This paper selects commercial load features using Canonical Correlation Analysis (CCA) and employs DBSCAN and K-means clustering algorithms to classify loads, forming load clusters suitable for different scenarios. Furthermore, three load aggregation criteria are proposed, namely, regulation speed-based, load stability-based, and economic-based standards. The characteristics, applicability, and potential applications of commercial load aggregation under different standards in power dispatch are analyzed.
Key words : commercial load；canonical correlation analysis （CCA）；DBSCAN；K-means；load aggregation criteria
