Fast classification, aggregation, and modeling of load clusters for transient voltage stability

Abstract Transient voltage instability always starts from low-voltage load areas and burgeons to high-voltage grids, where the dynamic load is one significant factor. There is an urgent demand for effective and efficient modeling of electrical loads. Thereby, this paper proposes a classification and aggregation approach to model the multi-voltage-level load clusters. Load clusters from online identification are classified and grouped according to their stabilities and transient characteristics. Then, based on the weighted average of induction motor (IM) voltage angles, an approach is proposed to aggregate models of grouped loads sharing similar dynamic features. The proposed approach can aggregate load models from a low voltage level to a higher one layer by layer. Thus, the aggregated model keeps the primary transient characteristics, as well as dramatically reduces the simulation scale and the calculation complexity.