Comprehensive Evaluation of Partition Aggregation of Energy Storage Power Station Based on Entropy Weight-Analytic Hierarchy Process

Energy storage power station is an important object of new power systems participating in peak shaving, frequency modulation, and voltage regulation scenarios, and it is of great reference significance to evaluate it reasonably and comprehensively in different scenarios. Firstly, based on the spatial distribution of energy storage power stations and the differences in participating in power grid regulation in different scenarios, combined with the actual operation state of the power grid and the technical parameters of energy storage power stations, some representative indicators of regulation ability are selected, and K-means clustering is used to partition and aggregate them in different scenarios; Then, a comprehensive weighting method based on entropy weight-analytic hierarchy process is proposed, and TOPSIS algorithm is used to comprehensively evaluate the aggregated energy storage power station; Finally, taking IEEE 118 bus system as an example, the comprehensive evaluation results of various aggregated energy storage power stations in different scenarios are obtained, which verifies the rationality and effectiveness of the proposed method.