A method for estimating the adjustment capacity of flexible adjustable resources for power distribution areas

Abstract

This invention discloses a method for estimating the regulation capacity of flexible and adjustable resources in distribution substations, belonging to the field of distribution network monitoring and intelligent dispatching technology. The method includes: collecting operational and environmental data synchronously to obtain a multi-source measurement sequence and constructing a three-layer flexible resource map for the substation; updating edge weights; and, based on the multi-source measurement sequence, establishing a physical mechanism model for the flexible and adjustable resource equipment nodes to generate physical prior features. The three-layer flexible resource map is then input into a physical mechanism constraint graph neural network. Based on the physical prior features, node representation vectors are obtained. For each node, the flexible and adjustable resource category, installed capacity, regulation capacity estimation, and operating status are identified to obtain the flexible and adjustable resource identification result and generate a regulation capacity curve for the flexible and adjustable resources of the substation. This invention solves the problems of existing technologies, such as the difficulty in accurately identifying and evaluating the regulation capacity of flexible and adjustable resources in distribution substations and the lack of physical mechanism constraints.

Images