Topology Consistency Verification in Power System Based on Data Inference

In recent years, with the development of the Internet of Things (IoT) and the deepening of marketization, more and more industries related to the power system require necessary information disclosure. However, there is often inconsistency between the publicly available data of the power system and the actual operational electricity transaction data, and the publicly available data from different sources also do not match. This paper proposes a data inference-based method for verifying the consistency between electricity price data and publicly available topology, aiming to address the issue of data inconsistency in real scenarios. This method achieves the consistency verification between electricity market prices and publicly available topology through steps such as data collection and preprocessing, power system model construction, and topology consistency verification. This paper conducts a comprehensive study on the publicly available electricity price data and the power grid model, and constructs the physical coupling relationship of the data under the power optimization model. Furthermore, the effectiveness of the data inference-based method for verifying the consistency between electricity market prices and publicly available topology is validated through experiments conducted on a real data constructed power grid case.