A Demand‐Side Resource Selection Method for Feature Aggregation Based on Load Mapping

Abstract

In order to improve the intuitiveness and automation of demand‐side resource selection, a demand‐side resource selection method based on load mapping matching is proposed in view of the increasing challenges of supply–demand balance in power networks and the rapid development of power demand‐side management technologies. First, a two‐dimensional load mapping of demand‐side resources is drawn, and the load mapping is processed by Gaussian convolutional difference method. Then, feature points are extracted and located for the target resources and the loads of other resources in the demand‐side resource pool, and similar feature key point pairs of demand‐side resources are obtained. Finally, the demand‐side resources with similar load characteristics to the target resources in the resource pool are screened according to the number of similar feature key point pairs, and the load resources similar to the target resources are finally identified by dividing the resource selection into priority levels. The experimental results show that the method can effectively extract feature key points, clearly and intuitively represent the features of demand‐side resource load mapping, and can match to load resources with similar characteristics, which greatly transforms the demand‐side resource selection mode. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.